Triple

T10458443
Position Surface form Disambiguated ID Type / Status
Subject Andrew B. Moore E246606 entity
Predicate practicedLawIn P2755 FINISHED
Object Centreville, Alabama E275086 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: Centreville, Alabama | Statement: [Andrew B. Moore, practicedLawIn, Centreville, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centreville, Alabama
Context triple: [Andrew B. Moore, practicedLawIn, Centreville, Alabama]
  • A. Centreville, Alabama chosen
    Centreville, Alabama is a small city in central Alabama known for its historic downtown and role as an administrative and commercial hub for the surrounding rural area.
  • B. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • C. Shorterville, Alabama
    Shorterville, Alabama is a small unincorporated community and rural locality in eastern Henry County near the Chattahoochee River.
  • D. Thomasville, Alabama
    Thomasville, Alabama is a small city in Clarke County known historically as a regional trade center in southwest Alabama’s Black Belt.
  • E. Centre, Alabama
    Centre, Alabama is a small city in Cherokee County known as the "Crappie Capital of the World" due to its proximity to the popular fishing destination Weiss Lake.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4a56e08190ab56d762d6a91b01 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fbf3a308190af6b605ce781396a completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:18 p.m.