Triple

T4353680
Position Surface form Disambiguated ID Type / Status
Subject Auburn University E98092 entity
Predicate locatedIn 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 University, locatedIn, Auburn, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn, Alabama
Context triple: [Auburn University, locatedIn, 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 suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
  • D. 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.
  • E. Auburn
    Auburn is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c281688190aef717c4ecce8107 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b637435c208190b8a899878b350798 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:15 p.m.