Triple

T16652852
Position Surface form Disambiguated ID Type / Status
Subject Old Town, Florida E404649 entity
Predicate locatedNear P294 FINISHED
Object Cross City, Florida E381916 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: Cross City, Florida | Statement: [Old Town, Florida, locatedNear, Cross City, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cross City, Florida
Context triple: [Old Town, Florida, locatedNear, Cross City, Florida]
  • A. Cross City, Florida chosen
    Cross City, Florida is a small town in the Big Bend region of the state that serves as the governmental and commercial hub of rural Dixie County.
  • B. Westville, Florida
    Westville, Florida is a small rural town located in the Florida Panhandle.
  • C. Springville, Florida
    Springville, Florida is a small unincorporated rural community located in Columbia County in northern Florida.
  • D. Clewiston, Florida
    Clewiston, Florida is a small city on the southern shore of Lake Okeechobee known for its sugar industry and agricultural economy.
  • E. Springfield, Florida
    Springfield, Florida is a small city in Bay County near Panama City, known as a residential community in Florida’s Panhandle.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf861348190b2b0b5574d4ddb4f completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c4c6a08190874264b2840fc70d completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.