Triple

T2854438
Position Surface form Disambiguated ID Type / Status
Subject Song to Song E63166 entity
Predicate setting P1957 FINISHED
Object Austin, Texas E15420 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: Austin, Texas | Statement: [Song to Song, setting, Austin, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austin, Texas
Context triple: [Song to Song, setting, Austin, Texas]
  • 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. Austin chosen
    Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
  • C. Austin
    Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
  • D. Frisco, Texas
    Frisco, Texas is a rapidly growing suburban city in the Dallas–Fort Worth metropolitan area known for its sports venues, retail centers, and family-friendly communities.
  • E. San Antonio
    San Antonio was one of the ships in Ferdinand Magellan’s expedition fleet that participated in the first circumnavigation attempt of the globe.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf95285fc08190b6dcae44270f486f completed March 22, 2026, 7:07 a.m.
Created at: March 6, 2026, 10:02 p.m.