Triple

T22879209
Position Surface form Disambiguated ID Type / Status
Subject Katy Trail (Dallas) E567412 entity
Predicate operator P179 FINISHED
Object City of Dallas NE NERFINISHED

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: City of Dallas | Statement: [Katy Trail (Dallas), operator, City of Dallas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Dallas
Context triple: [Katy Trail (Dallas), operator, City of Dallas]
  • A. Dallas, Texas chosen
    Dallas, Texas is a major metropolitan city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and telecommunications.
  • B. City of Austin
    The City of Austin is the capital of Texas, known for its vibrant live music scene, tech industry presence, and progressive cultural and political landscape.
  • C. Dallas
    Dallas is the early series of United States Supreme Court case reports compiled by Alexander J. Dallas, covering decisions from the late 18th century before the official U.S. Reports numbering began.
  • D. Dallas
    Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
  • E. Dallas
    Dallas is a major city in north Texas known for its role as a commercial and cultural hub, with a rich history in railroads, oil, and telecommunications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5b1ea481909a31a8ed6792ad04 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.