Triple

T18431072
Position Surface form Disambiguated ID Type / Status
Subject Western Alabama E450268 entity
Predicate hasPart P35 FINISHED
Object Vernon, 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: Vernon, Alabama | Statement: [Western Alabama, hasPart, Vernon, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernon, Alabama
Context triple: [Western Alabama, hasPart, 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. Mount Vernon, Alabama
    Mount Vernon, Alabama is a small town in Mobile County known historically for its former state hospital and its location along the Mobile River in southwestern Alabama.
  • E. Vick, Alabama
    Vick, Alabama is an unincorporated rural community located in Butler County in the south-central region 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b1771788190b26afdf65e9de502 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:26 a.m.