Triple

T17464021
Position Surface form Disambiguated ID Type / Status
Subject Ardmore, Tennessee E425229 entity
Predicate sharesNameWith P15168 FINISHED
Object Ardmore, 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: Ardmore, Alabama | Statement: [Ardmore, Tennessee, sharesNameWith, Ardmore, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ardmore, Alabama
Context triple: [Ardmore, Tennessee, sharesNameWith, Ardmore, Alabama]
  • A. Ardmore, Alabama chosen
    Ardmore, Alabama is a small town in northern Alabama known for straddling the state line with Tennessee and serving as a local crossroads community.
  • B. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • C. Rockford, Alabama
    Rockford, Alabama is a small rural town in central Alabama that serves as the administrative and civic hub of Coosa County.
  • 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. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a5bba08190b61a21fa7538ed69 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.