Triple

T7603701
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 27 in Florida E180047 entity
Predicate servesCity P82 FINISHED
Object Mayo, Florida E356194 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: Mayo, Florida | Statement: [U.S. Route 27 in Florida, servesCity, Mayo, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayo, Florida
Context triple: [U.S. Route 27 in Florida, servesCity, Mayo, Florida]
  • A. Mayo, Florida chosen
    Mayo, Florida is a small rural town in northern Florida that serves as the administrative and commercial center of Lafayette County.
  • B. Ave Maria, Florida
    Ave Maria, Florida is a master-planned Catholic-oriented town in southwest Florida known for its university and distinctive church-centered community design.
  • C. Poinciana, Florida
    Poinciana, Florida is a large, master-planned residential community in Central Florida known for its rapid growth and proximity to the Orlando–Kissimmee metropolitan area.
  • D. DeBary, Florida
    DeBary, Florida is a small city in Volusia County known as a residential community in Central Florida situated along the St. Johns River.
  • 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_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_69c8be17b3ec81909fc52c5570d39fb7 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 3:54 p.m.