Triple

T2788340
Position Surface form Disambiguated ID Type / Status
Subject Interstate 85 E61864 entity
Predicate servesCity P82 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: [Interstate 85, servesCity, Auburn, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn, Alabama
Context triple: [Interstate 85, servesCity, 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb3d63c8190b3ab5fa363c69db8 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055cd4e1c8190a2eb97e648aa0080 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 9:58 p.m.