Triple

T12033982
Position Surface form Disambiguated ID Type / Status
Subject H Street Corridor E286486 entity
Predicate hasTransport P1298 FINISHED
Object DC Streetcar E609343 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: DC Streetcar | Statement: [H Street Corridor, hasTransport, DC Streetcar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC Streetcar
Context triple: [H Street Corridor, hasTransport, DC Streetcar]
  • A. DC Streetcar chosen
    DC Streetcar is a modern streetcar transit system in Washington, D.C. that provides light-rail-style service along key corridors in the city.
  • B. Dallas Streetcar
    Dallas Streetcar is a modern, free-to-ride streetcar line in Dallas, Texas, providing light rail-style transit between downtown and the Oak Cliff area.
  • C. Atlanta Streetcar
    The Atlanta Streetcar is a modern electric streetcar system providing urban rail transit within central Atlanta, Georgia.
  • D. Seattle Streetcar
    The Seattle Streetcar is a modern electric streetcar system providing urban transit service along key corridors in Seattle, Washington.
  • E. McKinney Avenue Trolley
    The McKinney Avenue Trolley is a heritage streetcar system in Dallas, Texas, that operates vintage trolleys as a free public transit service and tourist attraction.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040724ec8190808f334013ddc6d6 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d6ec4b8819093ff50254a851444 completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.