Triple

T11625463
Position Surface form Disambiguated ID Type / Status
Subject Enfield station E276255 entity
Predicate serviceOperator P5884 FINISHED
Object CTrail E237743 NE FINISHED

How this triple was built (2 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: CTrail | Statement: [Enfield station, serviceOperator, CTrail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTrail
Context triple: [Enfield station, serviceOperator, CTrail]
  • A. CTrail chosen
    CTrail is a regional rail service brand used by the Connecticut Department of Transportation for its commuter and intercity passenger train lines.
  • B. CTrain
    CTrain is Calgary’s light rail transit system that serves as the backbone of the city’s public transportation network.
  • C. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • D. CTC
    CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
  • E. CTC
    CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87845d588190bfa4197e7ab600a7 completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.