Triple

T2440246
Position Surface form Disambiguated ID Type / Status
Subject Siemens S700 E53255 entity
Predicate operator P179 FINISHED
Object Calgary Transit E86504 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: Calgary Transit | Statement: [Siemens S700, operator, Calgary Transit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calgary Transit
Context triple: [Siemens S700, operator, Calgary Transit]
  • A. Calgary CTrain chosen
    Calgary CTrain is the light rail transit system serving Calgary, Alberta, known for its extensive network and high ridership within the city's public transportation system.
  • B. Brampton Transit
    Brampton Transit is the public bus transportation system serving the city of Brampton in Ontario, Canada.
  • C. OC Transpo
    OC Transpo is the public transit agency that operates bus and light rail services throughout Ottawa, Ontario.
  • D. Toronto Transit Commission
    The Toronto Transit Commission is the public agency that operates Toronto’s primary network of subways, buses, and streetcars.
  • E. Edmonton LRT
    Edmonton LRT is the light rail transit system serving the city of Edmonton, Alberta, providing urban and suburban passenger rail service across multiple lines.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f7ba208190810f8ea115110375 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b3f7188190911f2db0ef2200cc completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.