Triple

T32551247
Position Surface form Disambiguated ID Type / Status
Subject Great Johnstown Flood of 1889 E831977 entity
Predicate damInvolved P174585 FINISHED
Object South Fork Dam
South Fork Dam was an earthen embankment dam in Pennsylvania whose catastrophic failure in 1889 unleashed the Great Johnstown Flood, one of the deadliest disasters in U.S. history.
 E2285905 NE FINISHED

How this triple was built (3 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: South Fork Dam | Statement: [Great Johnstown Flood of 1889, damInvolved, South Fork Dam]
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: South Fork Dam
Triple: [Great Johnstown Flood of 1889, damInvolved, South Fork Dam]
Generated description
South Fork Dam was an earthen embankment dam in Pennsylvania whose catastrophic failure in 1889 unleashed the Great Johnstown Flood, one of the deadliest disasters in U.S. history.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: damInvolved
Context triple: [Great Johnstown Flood of 1889, damInvolved, South Fork Dam]
  • A. damagedIn
    Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
  • B. damState
    Indicates the operational or physical condition a dam is currently in, such as its status, integrity, or level of functionality.
  • C. involvedInAccident
    Indicates that an entity participated in, was affected by, or was otherwise a party to a specific accident or collision event.
  • D. damagedBy
    Indicates that one entity has caused harm, impairment, or deterioration to another entity.
  • E. damageAssociatedWith
    Indicates a relationship where one entity is linked to causing, contributing to, or being responsible for damage affecting another entity.
  • F. None of above. chosen

Provenance (7 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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c5c70200819080339dcbe1a4088d completed May 3, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a4632484b788190a473de3a085dc701 completed July 2, 2026, 9:41 a.m.
NEDg Description generation batch_6a46331ea120819098add00e7a467bae completed July 2, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_6a463391244c8190b23804574f9c0c53 completed July 2, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69f6bd2a14b081908162923dfbf0a6f4 completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c1b666188190ac43c3011a7df048 completed May 3, 2026, 3:32 a.m.
Created at: May 1, 2026, 1:02 a.m.