Triple

T8114945
Position Surface form Disambiguated ID Type / Status
Subject DART streetcar E189448 entity
Predicate connectsWith P37 FINISHED
Object Dallas Streetcar network E687651 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: Dallas Streetcar network | Statement: [DART streetcar, connectsWith, Dallas Streetcar network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas Streetcar network
Context triple: [DART streetcar, connectsWith, Dallas Streetcar network]
  • A. Dallas Streetcar chosen
    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.
  • B. Atlanta Streetcar
    The Atlanta Streetcar is a modern electric streetcar system providing urban rail transit within central Atlanta, Georgia.
  • C. College Street streetcar
    The College Street streetcar is a Toronto Transit Commission streetcar route that runs along College Street, serving key downtown neighborhoods including the Discovery District.
  • D. DC Streetcar
    DC Streetcar is a modern streetcar transit system in Washington, D.C. that provides light-rail-style service along key corridors in the city.
  • E. Seattle Streetcar
    The Seattle Streetcar is a modern electric streetcar system providing urban transit service along key corridors in Seattle, Washington.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43308e0081909ea0463dabd74e4d completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc943bdaa48190971bf57ae4fb5c21 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:33 p.m.