Triple

T1121643
Position Surface form Disambiguated ID Type / Status
Subject St. Clair County, Alabama E24624 entity
Predicate hasTown P847 FINISHED
Object Ashville, Alabama E183771 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: Ashville, Alabama | Statement: [St. Clair County, Alabama, hasTown, Ashville, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashville, Alabama
Context triple: [St. Clair County, Alabama, hasTown, Ashville, Alabama]
  • A. Ashville, Alabama chosen
    Ashville, Alabama is a small historic town in central Alabama that serves as one of the two county seats of St. Clair County.
  • B. Fayetteville, Alabama
    Fayetteville, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
  • C. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • D. Vincent, Alabama
    Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
  • E. Wilton, Alabama
    Wilton, Alabama is a small town located in Shelby County in the 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbf71188190b82c8fff9d5ac01a completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad607966748190a5661d47021bf526 completed March 8, 2026, 11:41 a.m.
Created at: March 1, 2026, 7:44 p.m.