Triple

T7010438
Position Surface form Disambiguated ID Type / Status
Subject Fort Novosel E162565 entity
Predicate nearbyCity P350 FINISHED
Object Enterprise, Alabama E226302 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: Enterprise, Alabama | Statement: [Fort Novosel, nearbyCity, Enterprise, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enterprise, Alabama
Context triple: [Fort Novosel, nearbyCity, Enterprise, Alabama]
  • A. Enterprise, Alabama chosen
    Enterprise, Alabama is a prominent city in southeastern Alabama known for its agricultural heritage and the famous Boll Weevil Monument.
  • B. Grant, Alabama
    Grant, Alabama is a small town in Marshall County known as the closest community to Cathedral Caverns State Park in the Appalachian region of northern Alabama.
  • C. Steele, Alabama
    Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
  • D. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
  • E. Mobile, Alabama
    Mobile, Alabama is a historic port city on the Gulf Coast known for its colonial heritage, shipbuilding industry, and hosting one of the oldest Mardi Gras celebrations in the United States.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc3917c481909a288c3e56630c48 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4bd424819097e1543ec59979ff completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.