Triple

T5027320
Position Surface form Disambiguated ID Type / Status
Subject University of Florida E113208 entity
Predicate foundingLocation P40 FINISHED
Object Ocala, Florida E175983 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: [University of Florida, foundingLocation, Ocala, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ocala, Florida
Context triple: [University of Florida, foundingLocation, Ocala, Florida]
  • A. Ocala chosen
    Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
  • B. 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.
  • C. 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.
  • D. Cocoa, Florida
    Cocoa, Florida is a small city on Florida’s Space Coast known for its historic downtown, proximity to Cape Canaveral and Cocoa Beach, and access to the Indian River Lagoon.
  • E. Sanford, Florida
    Sanford, Florida is a historic city in central Florida on the southern shore of Lake Monroe, known as a transportation hub and gateway to the Orlando metropolitan area.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738d852c8190a122354f1e1f5343 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec34c4b8c8190a91be145e105f129 completed March 21, 2026, 4:11 p.m.
Created at: March 20, 2026, 1:36 p.m.