Triple

T20945402
Position Surface form Disambiguated ID Type / Status
Subject KAUS E515830 entity
Predicate servesCity P82 FINISHED
Object Austin, Texas 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: Austin, Texas | Statement: [KAUS, servesCity, Austin, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austin, Texas
Context triple: [KAUS, servesCity, Austin, Texas]
  • A. City of Austin chosen
    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.
  • B. 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.
  • C. Austin
    Austin is one of Chicago’s largest and most populous West Side community areas, known for its historic residential architecture and significant demographic and economic changes over time.
  • D. Austin
    Austin is a historic British automobile marque best known for its mass-market cars produced throughout much of the 20th century.
  • E. Austin
    Austin was an enslaved man held in bondage by George Washington who lived and labored at the President's House in Philadelphia during Washington's presidency.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad7f67481908675e76736f5e0c3 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:55 p.m.