Triple

T13339029
Position Surface form Disambiguated ID Type / Status
Subject Dallas Executive Airport E317774 entity
Predicate operator P179 FINISHED
Object City of Dallas E879379 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: City of Dallas | Statement: [Dallas Executive Airport, operator, City of Dallas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Dallas
Context triple: [Dallas Executive Airport, operator, City of Dallas]
  • A. Dallas, Texas
    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 a central female character in the classic Western film "Stagecoach," portrayed as a compassionate yet socially ostracized woman whose journey reveals themes of dignity and redemption.
  • D. Dallas
    Dallas is a small borough in northeastern Pennsylvania known as part of the suburban and educational hub of the Wyoming Valley near Wilkes-Barre.
  • E. Dallas chosen
    Dallas is a major city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and the energy industry.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6419a3c8190bfaeab65f3909474 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:31 p.m.