Triple

T4107337
Position Surface form Disambiguated ID Type / Status
Subject Coosa County, Alabama E88484 entity
Predicate hasSettlement P1068 FINISHED
Object Goodwater, Alabama E433610 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: Goodwater, Alabama | Statement: [Coosa County, Alabama, hasSettlement, Goodwater, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodwater, Alabama
Context triple: [Coosa County, Alabama, hasSettlement, Goodwater, Alabama]
  • A. Goodwater, Alabama chosen
    Goodwater, Alabama is a small city that serves as the largest municipality in Coosa County in the central part of the state.
  • B. Waverly, Alabama
    Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
  • C. Riverside, Alabama
    Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
  • D. Odenville, Alabama
    Odenville, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham metropolitan area.
  • E. Townley, Alabama
    Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019e23c481909578eba1c9270282 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5a4f75481909236504eaf81ce33 completed March 14, 2026, 11:56 p.m.
Created at: March 9, 2026, 3:40 p.m.