Triple

T8297267
Position Surface form Disambiguated ID Type / Status
Subject Lamar County, Alabama E194250 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Vernon, Alabama E751571 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: Vernon, Alabama | Statement: [Lamar County, Alabama, hasAdministrativeCenter, Vernon, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernon, Alabama
Context triple: [Lamar County, Alabama, hasAdministrativeCenter, Vernon, Alabama]
  • A. Vernon, Alabama chosen
    Vernon, Alabama is a small city in western Alabama that serves as the administrative and commercial center of Lamar County.
  • B. Vance, Alabama
    Vance, Alabama is a small town in Tuscaloosa and Bibb counties best known as the site of a major Mercedes-Benz automobile manufacturing plant.
  • 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. Ensley, Alabama
    Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
  • E. Odenville, Alabama
    Odenville, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham metropolitan area.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df887148190bddc2609bc885cb4 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf8855a9c081909721a2efdc06d778 completed April 3, 2026, 9:28 a.m.
Created at: March 30, 2026, 5:53 p.m.