Triple

T7603697
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 27 in Florida E180047 entity
Predicate servesCity P82 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: [U.S. Route 27 in Florida, servesCity, Ocala, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ocala, Florida
Context triple: [U.S. Route 27 in Florida, servesCity, 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. 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.
  • D. 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.
  • E. 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.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fa633081909660f653f5b073cd completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4ed90808190852ca09c06a3dc3d completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:54 p.m.