Triple

T1850021
Position Surface form Disambiguated ID Type / Status
Subject Peter Prince Field E41372 entity
Predicate servesCity P82 FINISHED
Object Milton, Florida E16096 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: Milton, Florida | Statement: [Peter Prince Field, servesCity, Milton, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milton, Florida
Context triple: [Peter Prince Field, servesCity, Milton, Florida]
  • A. Milton, Florida chosen
    Milton, Florida is a small historic city in Santa Rosa County in the Florida Panhandle, known for its proximity to Pensacola and its role as a regional hub near Naval Air Station Whiting Field.
  • B. Lovett, Florida
    Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
  • C. Shalimar, Florida
    Shalimar, Florida is a small town in the Florida Panhandle known for its residential communities and proximity to Eglin Air Force Base along the Emerald Coast.
  • D. Westville, Florida
    Westville, Florida is a small rural town located in the Florida Panhandle.
  • E. Monticello, Florida
    Monticello, Florida is a small historic city in Jefferson County known for its preserved antebellum architecture and role as a rural county seat in the Florida 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb066bd6881909c8d6a6b63cb0ee5 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0abb346081908df2c8390e4938d5 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:33 p.m.