Triple

T1185069
Position Surface form Disambiguated ID Type / Status
Subject Chilton County, Alabama E25226 entity
Predicate hasCity P316 FINISHED
Object Clanton, Alabama E23798 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: Clanton, Alabama | Statement: [Chilton County, Alabama, hasCity, Clanton, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clanton, Alabama
Context triple: [Chilton County, Alabama, hasCity, Clanton, Alabama]
  • A. Clanton, Alabama chosen
    Clanton, Alabama is a small city in central Alabama known for its peach production and location between Birmingham and Montgomery.
  • B. Cullman
    Cullman is a small city in north-central Alabama known for its German heritage, historic downtown, and proximity to Smith Lake.
  • C. Tarrant, Alabama
    Tarrant, Alabama is a small industrial city in Jefferson County, near Birmingham, known historically for its steel and manufacturing operations.
  • D. Blountsville, Alabama
    Blountsville, Alabama is a small historic town in northern Alabama known for its rural character and role as one of the early settlements in the region.
  • E. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd39245881908766c41943dc2752 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb8231ec81909d539f9bc2219619 completed March 8, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:45 p.m.