Triple

T10333364
Position Surface form Disambiguated ID Type / Status
Subject Ottawa bus network E242933 entity
Predicate integratedWith P2830 FINISHED
Object O-Train light rail system 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 light rail system | Statement: [Ottawa bus network, integratedWith, O-Train light rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O-Train light rail system
Context triple: [Ottawa bus network, integratedWith, O-Train light rail system]
  • 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. LYNX light rail system
    The LYNX light rail system is Charlotte, North Carolina’s urban rail transit network, providing electric passenger service along key corridors such as the Blue Line.
  • C. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • D. DART Light Rail
    DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
  • E. METRO light rail
    METRO light rail is a rapid transit system serving the Minneapolis–Saint Paul metropolitan area with multiple color-designated lines connecting key urban, suburban, and airport destinations.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc2b5a081908d700c5e199e24a7 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794fe4fe481908e4c343ceeb5de25 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:53 a.m.