Triple

T17198061
Position Surface form Disambiguated ID Type / Status
Subject Zilker Kite Festival E417403 entity
Predicate city P40 FINISHED
Object Austin 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 | Statement: [Zilker Kite Festival, city, Austin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austin
Context triple: [Zilker Kite Festival, city, Austin]
  • A. 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.
  • B. Austin
    Austin is a historic British automobile marque best known for its mass-market cars produced throughout much of the 20th century.
  • C. 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.
  • D. Austin chosen
    Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
  • E. Austin
    Austin is a common English surname of Anglo-Saxon origin, often associated with notable figures in philosophy, politics, and the arts.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daca29081909837494d8d516634 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 5:38 a.m.