Triple

T11980960
Position Surface form Disambiguated ID Type / Status
Subject Auburn Tigers baseball E285156 entity
Predicate city P40 FINISHED
Object Auburn, Alabama E98092 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: Auburn, Alabama | Statement: [Auburn Tigers baseball, city, Auburn, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn, Alabama
Context triple: [Auburn Tigers baseball, city, Auburn, Alabama]
  • A. Auburn, Georgia
    Auburn, Georgia is a small city in Barrow and Gwinnett counties within the Atlanta metropolitan area.
  • B. Auburn chosen
    Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
  • C. Auburn
    Auburn is a small city in northeastern Indiana known for its automotive heritage and classic car museums.
  • D. Auburn
    Auburn is a suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
  • E. Auburn
    Auburn is a historic Gold Rush-era city in California’s Sierra Nevada foothills, known for its preserved Old Town and role in the state’s mining heritage.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90395a8788190bfbb3506c29e3825 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d0791348190a2f6c0e808af3aea completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.