Triple

T17233298
Position Surface form Disambiguated ID Type / Status
Subject Tom Hunter station E418299 entity
Predicate partOfNetwork P840 FINISHED
Object LYNX light rail system E421586 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: LYNX light rail system | Statement: [Tom Hunter station, partOfNetwork, LYNX light rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LYNX light rail system
Context triple: [Tom Hunter station, partOfNetwork, LYNX light rail system]
  • A. LYNX light rail system chosen
    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.
  • B. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • C. Mi Tren light rail system
    The Mi Tren light rail system is an urban rail transit network serving the Guadalajara metropolitan area in Jalisco, Mexico.
  • 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. D Line light rail
    D Line light rail is a Denver-area Regional Transportation District (RTD) light rail service that runs through central and southern parts of the metro area, connecting key downtown and suburban 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df9558481909e2e50ae0b02acf7 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3abb1c819083e802ac79ff4c34 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:39 a.m.