Triple

T9654693
Position Surface form Disambiguated ID Type / Status
Subject Ocala Police Department E233419 entity
Predicate headquartersLocation P62 FINISHED
Object Ocala, Florida E611483 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: Ocala, Florida | Statement: [Ocala Police Department, headquartersLocation, Ocala, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ocala, Florida
Context triple: [Ocala Police Department, headquartersLocation, Ocala, Florida]
  • A. Ocala
    Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
  • B. Ocala, Florida, United States chosen
    Ocala is a mid-sized city in north-central Florida known for its thoroughbred horse farms and historic downtown.
  • C. Seminole, Florida
    Seminole, Florida is a small suburban city in the Tampa Bay area known for its residential communities, parks, and proximity to Gulf Coast beaches.
  • D. Ochopee, Florida
    Ochopee, Florida is a tiny unincorporated community in the Florida Everglades best known for having one of the smallest post offices in the United States.
  • E. Wellington, Florida
    Wellington, Florida is an affluent village in Palm Beach County known as a major international equestrian center and winter polo capital of the world.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bda8e7881908b0e36b91a8d3891 completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c3ffbf848190a3e444068fea0a4b completed April 5, 2026, 2:07 a.m.
Created at: March 30, 2026, 8:13 p.m.