Triple

T22942074
Position Surface form Disambiguated ID Type / Status
Subject Chilton County School District E569758 entity
Predicate servesCommunity P82 FINISHED
Object Verbena, 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: Verbena, Alabama | Statement: [Chilton County School District, servesCommunity, Verbena, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verbena, Alabama
Context triple: [Chilton County School District, servesCommunity, Verbena, Alabama]
  • A. Verbena, Alabama chosen
    Verbena, Alabama is a small unincorporated community in Chilton County known historically as a resort area and rural residential locality in central Alabama.
  • B. Vernon, Alabama
    Vernon, Alabama is a small city in western Alabama that serves as the administrative and commercial center of Lamar County.
  • C. Vincent, Alabama
    Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
  • D. Vandiver, Alabama
    Vandiver, Alabama is a small unincorporated community located in Shelby County in central Alabama.
  • E. Vashti, Alabama
    Vashti, Alabama is an unincorporated rural community located in Clarke County in the southwestern part of the state.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819a509481908a3662ef80f757c7 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:45 p.m.