Triple

T16324633
Position Surface form Disambiguated ID Type / Status
Subject North Central Florida E396380 entity
Predicate containsCounty P5971 FINISHED
Object Lafayette County E403090 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: Lafayette County | Statement: [North Central Florida, containsCounty, Lafayette County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lafayette County
Context triple: [North Central Florida, containsCounty, Lafayette County]
  • A. Lafayette County chosen
    Lafayette County is a small, rural county in northern Florida known for its forests, rivers, and agricultural character.
  • B. Lafayette County
    Lafayette County is a county in northern Mississippi best known as the home of the city of Oxford and the University of Mississippi (Ole Miss).
  • C. Lafayette County
    Lafayette County is a county in western Missouri known for its historic towns, agricultural landscape, and location along the Missouri River.
  • D. Harrison County
    Harrison County is an East Texas county in the United States, historically significant for its role in the antebellum South and centered around its county seat, Marshall.
  • E. Harrison County
    Harrison County is a rural county in western Iowa known for its agricultural landscape, small communities, and location along the Missouri River.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b8fe988190adee72b23246052f completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da6e6e08190a20cc51699e12dbc completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.