Triple

T68905
Position Surface form Disambiguated ID Type / Status
Subject Washington Metro E1376 entity
Predicate safetyIncident P259 FINISHED
Object 2009 Red Line collision
The 2009 Red Line collision was a deadly rear-end crash between two Washington Metro trains near Fort Totten station that became one of the worst accidents in the system’s history and prompted major safety reforms.
E4791 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2009 Red Line collision | Statement: [Washington Metro, safetyIncident, 2009 Red Line collision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2009 Red Line collision
Context triple: [Washington Metro, safetyIncident, 2009 Red Line collision]
  • A. Chappaquiddick incident
    The Chappaquiddick incident was a 1969 car accident on Chappaquiddick Island involving Senator Edward M. Kennedy that resulted in the death of Mary Jo Kopechne and had lasting political repercussions for Kennedy's career.
  • B. MARC Train
    MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
  • C. MAX Red Line
    MAX Red Line is a light rail service in the Portland, Oregon metropolitan area that connects downtown Portland with Portland International Airport and the city’s western suburbs.
  • D. Haymarket affair
    The Haymarket affair was an 1886 labor protest and bombing in Chicago that became a pivotal moment in the history of workers’ rights and the labor movement in the United States.
  • E. Altmark Incident
    The Altmark Incident was a 1940 World War II naval confrontation in Norwegian waters, where British forces boarded the German tanker Altmark to free imprisoned Allied sailors, heightening tensions during the early "Phoney War" period.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 2009 Red Line collision
Triple: [Washington Metro, safetyIncident, 2009 Red Line collision]
Generated description
The 2009 Red Line collision was a deadly rear-end crash between two Washington Metro trains near Fort Totten station that became one of the worst accidents in the system’s history and prompted major safety reforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 2009 Red Line collision
Target entity description: The 2009 Red Line collision was a deadly rear-end crash between two Washington Metro trains near Fort Totten station that became one of the worst accidents in the system’s history and prompted major safety reforms.
  • A. Chappaquiddick incident
    The Chappaquiddick incident was a 1969 car accident on Chappaquiddick Island involving Senator Edward M. Kennedy that resulted in the death of Mary Jo Kopechne and had lasting political repercussions for Kennedy's career.
  • B. MARC Train
    MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
  • C. MAX Red Line
    MAX Red Line is a light rail service in the Portland, Oregon metropolitan area that connects downtown Portland with Portland International Airport and the city’s western suburbs.
  • D. Haymarket affair
    The Haymarket affair was an 1886 labor protest and bombing in Chicago that became a pivotal moment in the history of workers’ rights and the labor movement in the United States.
  • E. Altmark Incident
    The Altmark Incident was a 1940 World War II naval confrontation in Norwegian waters, where British forces boarded the German tanker Altmark to free imprisoned Allied sailors, heightening tensions during the early "Phoney War" period.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyIncident
Context triple: [Washington Metro, safetyIncident, 2009 Red Line collision]
  • A. accidentType
    Indicates the specific category or kind of accident associated with an event or incident.
  • B. hazardType
    Indicates the specific kind or category of hazard associated with an entity or situation.
  • C. significantEvent chosen
    Indicates that an event involving the entities is of notable importance or impact within a given context.
  • D. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • E. shipInvolved
    Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2554da8848190a445b503d98769aa completed Feb. 28, 2026, 2:39 a.m.
NEDg Description generation batch_69a255b409a081908871ed7fee07be29 completed Feb. 28, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69a256e8f7ec81909450c07bf7bafa0a completed Feb. 28, 2026, 2:46 a.m.
PD Predicate disambiguation batch_69a24ea8cfd081908a26edad2473dde3 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.