Triple

T38472
Position Surface form Disambiguated ID Type / Status
Subject MBTA Red Line E761 entity
Predicate fareSystem P395 FINISHED
Object CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
 E3327 NE FINISHED

How this triple was built (4 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: CharlieCard | Statement: [MBTA Red Line, fareSystem, CharlieCard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CharlieCard
Context triple: [MBTA Red Line, fareSystem, CharlieCard]
  • A. Ventra
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. CCC
    The CCC, or Civilian Conservation Corps, was a New Deal work relief program in the United States during the 1930s and early 1940s that employed young men in conservation and public works projects such as reforestation, park development, and soil erosion control.
  • C. Crown
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • D. NFC
    The NFC (National Football Conference) is one of the two conferences in the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
  • E. Coinstar
    Coinstar is a company best known for its self-service coin-counting kiosks commonly found in supermarkets and retail stores.
  • 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: CharlieCard
Triple: [MBTA Red Line, fareSystem, CharlieCard]
Generated description
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CharlieCard
Target entity description: The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
  • A. Ventra
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • B. CCC
    The CCC, or Civilian Conservation Corps, was a New Deal work relief program in the United States during the 1930s and early 1940s that employed young men in conservation and public works projects such as reforestation, park development, and soil erosion control.
  • C. Crown
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • D. NFC
    The NFC (National Football Conference) is one of the two conferences in the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
  • E. Coinstar
    Coinstar is a company best known for its self-service coin-counting kiosks commonly found in supermarkets and retail stores.
  • F. None of above. chosen

Provenance (5 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acd14b48190b80d4329621583df completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e6222408190bc317b90aea16849 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a250f6c0308190affd58f1bfa0c261 completed Feb. 28, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69a251b471688190b067c5db8f03ac47 completed Feb. 28, 2026, 2:23 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.