Triple

T5436636
Position Surface form Disambiguated ID Type / Status
Subject Collier County, Florida E122023 entity
Predicate namedAfter P63 FINISHED
Object Barron Collier E122023 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: Barron Collier | Statement: [Collier County, Florida, namedAfter, Barron Collier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barron Collier
Context triple: [Collier County, Florida, namedAfter, Barron Collier]
  • A. Barron Collier chosen
    Barron Collier was an American advertising magnate and land developer whose extensive investments and philanthropy in southwest Florida led to significant regional growth and the naming of Collier County in his honor.
  • B. Hernando
    Hernando is the Spanish form of the given name Ferdinand, historically borne by several notable figures including explorers and monarchs.
  • C. Sanford
    Sanford is a small rural town located in Conejos County in southern Colorado, known for its agricultural surroundings and close-knit community.
  • D. Sanford
    Sanford is a major American manufacturer of writing instruments, best known as the parent company behind brands like Sharpie and Paper Mate.
  • E. Sanford
    Sanford is the given first name of legendary American Major League Baseball pitcher Sandy Koufax.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91bb51d48190aab340d8d25e9a9a completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3acfd0408190877fbe41f1dc45ba completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:07 p.m.