Triple

T21196546
Position Surface form Disambiguated ID Type / Status
Subject TRAX light rail E522340 entity
Predicate hasColorDesignation P60 FINISHED
Object Red Line E426994 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: Red Line | Statement: [TRAX light rail, hasColorDesignation, Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Line
Context triple: [TRAX light rail, hasColorDesignation, Red Line]
  • A. Red Line
    The Red Line is a regional express bus route operated under the SolanoExpress system, providing intercity transit service in Solano County and surrounding areas.
  • B. Red Line chosen
    The Red Line is a light rail route in the Salt Lake City TRAX system that connects key destinations across the Salt Lake Valley.
  • C. Red Line
    The Red Line is one of the primary light rail transit routes in Calgary’s CTrain system, running on a north–south axis through key areas of the city.
  • D. Red Line
    The Red Line is one of the main aerial cable car routes in La Paz’s Mi Teleférico urban transit system, known for connecting key high-altitude areas of the city.
  • E. Red Line
    The Red Line is a major rapid transit route of the Taipei Metro system, serving key districts from the city center to suburban areas including Xiangshan.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333bd7a0819084bbd1d6c111bc65 completed April 21, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986ddf7c4819082c3fc3c7d47993a completed May 17, 2026, 9:14 a.m.
Created at: April 16, 2026, 3:08 p.m.