Triple

T17740389
Position Surface form Disambiguated ID Type / Status
Subject McCalla, Alabama E442836 entity
Predicate hasNearbyCommunity P4647 FINISHED
Object Woodstock, 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: Woodstock, Alabama | Statement: [McCalla, Alabama, hasNearbyCommunity, Woodstock, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodstock, Alabama
Context triple: [McCalla, Alabama, hasNearbyCommunity, Woodstock, Alabama]
  • A. Woodstock, Alabama chosen
    Woodstock, Alabama is a small town in central Alabama known for its rural character and location along major transportation routes between Birmingham and Tuscaloosa.
  • B. Steele, Alabama
    Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
  • C. Berry, Alabama
    Berry, Alabama is a small rural town in western Alabama known for its tight-knit community and location within Fayette County.
  • D. Vashti, Alabama
    Vashti, Alabama is an unincorporated rural community located in Clarke County in the southwestern part of the state.
  • E. Ensley, Alabama
    Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acc2610819099451b02bb51891f completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.