Triple

T228599
Position Surface form Disambiguated ID Type / Status
Subject Downtown Dallas E4362 entity
Predicate hasTransportation P105 FINISHED
Object DART Blue Line E53372 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 Blue Line | Statement: [Downtown Dallas, hasTransportation, DART Blue Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DART Blue Line
Context triple: [Downtown Dallas, hasTransportation, DART Blue Line]
  • A. DART Blue Line chosen
    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.
  • B. DART Red Line
    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.
  • 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. 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. Blue Line
    The Blue Line is one of the color-coded rapid transit routes in the Washington Metro system, running through key parts of Washington, D.C. and its Virginia 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_69a431da3ccc8190955e0cc9e5da7eb9 completed March 1, 2026, 12:32 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.