Triple

T20337435
Position Surface form Disambiguated ID Type / Status
Subject Golden Bears E495650 entity
Predicate associatedWithCity P1481 FINISHED
Object Fairfield, Alabama 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: Fairfield, Alabama | Statement: [Golden Bears, associatedWithCity, Fairfield, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairfield, Alabama
Context triple: [Golden Bears, associatedWithCity, Fairfield, Alabama]
  • A. Fairfield, Alabama chosen
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • B. Fairview, Alabama
    Fairview, Alabama is a small rural town located in Cullman County in north-central Alabama, known for its close-knit community and agricultural surroundings.
  • C. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • D. Franklin, Alabama
    Franklin, Alabama is a small unincorporated community located in Monroe County in the southern part of the state.
  • E. Rockford, Alabama
    Rockford, Alabama is a small rural town in central Alabama that serves as the administrative and civic hub of Coosa County.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ed75e081909bfc534033ac1c59 completed April 20, 2026, 7:01 p.m.
Created at: April 16, 2026, 11:23 a.m.