Triple

T228598
Position Surface form Disambiguated ID Type / Status
Subject Downtown Dallas E4362 entity
Predicate hasTransportation P105 FINISHED
Object DART Red Line E52573 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: DART Red Line | Statement: [Downtown Dallas, hasTransportation, DART Red Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DART Red Line
Context triple: [Downtown Dallas, hasTransportation, DART Red Line]
  • A. DART Red Line chosen
    The DART Red Line is a light rail service in Dallas, Texas, forming one of the primary routes in the Dallas Area Rapid Transit rail network.
  • B. DART Blue Line
    The DART Blue Line is a light rail service in the Dallas Area Rapid Transit system that runs through key parts of Dallas and its surrounding communities.
  • C. DART Green Line
    The DART Green Line is a light rail service in Dallas, Texas, operated by Dallas Area Rapid Transit and running through key corridors including downtown and Fair Park.
  • D. Red Line
    The Red Line is a major rapid transit route in the Boston metropolitan area, operated by the MBTA and running primarily north–south through key neighborhoods and suburbs.
  • E. Red Line
    Red Line is a major rapid transit route in the Washington Metro system, running through key areas of Washington, D.C., and its Maryland suburbs.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c9140c48190b90647400854b37e completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a42f5d46748190991c5813cf32f8df completed March 1, 2026, 12:21 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.