Triple

T4721959
Position Surface form Disambiguated ID Type / Status
Subject Cheaha Mountain E104788 entity
Predicate near P350 FINISHED
Object Oxford, Alabama E333187 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: Oxford, Alabama | Statement: [Cheaha Mountain, near, Oxford, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford, Alabama
Context triple: [Cheaha Mountain, near, Oxford, Alabama]
  • A. Oxford, Alabama chosen
    Oxford, Alabama is a small city in northeastern Alabama known for its proximity to Anniston and its location along the I-20 corridor between Birmingham and Atlanta.
  • B. Athens, Alabama
    Athens, Alabama is a small city in northern Alabama known as the hometown of the Grammy-winning rock band Alabama Shakes.
  • C. Tuscaloosa, Alabama
    Tuscaloosa, Alabama is a city in western Alabama known as the home of the University of Alabama and a regional center for education, healthcare, and industry.
  • D. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • E. Montevallo, Alabama
    Montevallo, Alabama is a small city in central Alabama best known as the home of the University of Montevallo, the state's only public liberal arts university.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642b82008190bb70dd60a4149502 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39ff21f0819094a273a0f26b22f4 completed March 21, 2026, 6:26 a.m.
Created at: March 20, 2026, 1:18 p.m.