Triple

T1329930
Position Surface form Disambiguated ID Type / Status
Subject OC Transpo E28618 entity
Predicate operatorOf P179 FINISHED
Object O-Train E48549 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: O-Train | Statement: [OC Transpo, operatorOf, O-Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O-Train
Context triple: [OC Transpo, operatorOf, O-Train]
  • A. O-Train chosen
    The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
  • B. M train
    The M train is a New York City Subway service that runs through parts of Queens, Brooklyn, and Manhattan, connecting neighborhoods such as Middle Village and Forest Hills with Midtown and Lower Manhattan.
  • C. E train
    The E train is a New York City Subway service that runs primarily along the IND Eighth Avenue Line, providing rapid transit between Queens and Manhattan.
  • D. L train
    The L train is a New York City Subway service that runs crosstown along 14th Street in Manhattan and through Williamsburg and Bushwick in Brooklyn, known for its heavy ridership and role as a key connector between the boroughs.
  • E. AeroTrain
    AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c449bc8190acb6603a0ddac7fd completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce641c6481908a3d2b9e9fc423d7 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:55 p.m.