Triple

T20028260
Position Surface form Disambiguated ID Type / Status
Subject Opp, Alabama E495045 entity
Predicate nearbyCity P350 FINISHED
Object Florala, 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: Florala, Alabama | Statement: [Opp, Alabama, nearbyCity, Florala, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florala, Alabama
Context triple: [Opp, Alabama, nearbyCity, Florala, Alabama]
  • A. Florala, Alabama chosen
    Florala, Alabama is a small town in southern Alabama near the Florida border, known for its proximity to Lake Jackson and the surrounding natural recreation areas.
  • B. Florence, Alabama
    Florence, Alabama is a small city in northwestern Alabama known as part of the Shoals region, with a rich musical heritage, historic architecture, and a scenic location along the Tennessee River.
  • C. Florette, Alabama
    Florette, Alabama is an unincorporated rural community located in Morgan County in the northern part of the state.
  • D. Rosa, Alabama
    Rosa, Alabama is a small town located in Blount County in the northern part of the state.
  • E. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628f67e081909b9e69dfbe2127ce completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.