Triple

T9797200
Position Surface form Disambiguated ID Type / Status
Subject State Street station E237746 entity
Predicate railNetwork P522 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: [State Street station, railNetwork, CTrail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTrail
Context triple: [State Street station, railNetwork, 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 commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • D. CTC
    CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
  • E. CTC
    CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda6264160819080da4805b213753f completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc5118a481908a65d730f86c7723 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:28 p.m.