Triple

T14773456
Position Surface form Disambiguated ID Type / Status
Subject Department of Computer Science, University of Texas at Austin E347191 entity
Predicate hasCity P316 FINISHED
Object Austin 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 | Statement: [Department of Computer Science, University of Texas at Austin, hasCity, Austin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austin
Context triple: [Department of Computer Science, University of Texas at Austin, hasCity, Austin]
  • A. Austin
    Austin is a common English surname of Anglo-Saxon origin, often associated with notable figures in philosophy, politics, and the arts.
  • B. 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.
  • 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 small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4531fc819084d9ab1c86cb540c completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:31 a.m.