Triple

T2068353
Position Surface form Disambiguated ID Type / Status
Subject Monroe County, Florida E45957 entity
Predicate contains P35 FINISHED
Object Islamorada E100682 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: Islamorada | Statement: [Monroe County, Florida, contains, Islamorada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Islamorada
Context triple: [Monroe County, Florida, contains, Islamorada]
  • A. Islamorada chosen
    Islamorada is a village in the Florida Keys known for its sport fishing, clear waters, and laid-back island atmosphere.
  • B. Jensen Beach
    Jensen Beach is a coastal community on Florida’s Treasure Coast known for its beaches, fishing, and relaxed small-town atmosphere.
  • C. Ormond
    Ormond is a masculine given name of English origin that has been borne by various notable individuals.
  • D. Good Harbor Beach
    Good Harbor Beach is a popular sandy ocean beach in Gloucester, Massachusetts, known for its scenic views, family-friendly swimming, and picturesque tidal island access.
  • E. Perdido Key
    Perdido Key is a barrier island and beach community on the Gulf Coast known for its white sand beaches, state parks, and laid-back coastal atmosphere.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f362f48190b1b0e560424c3aef completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2724f46c81909521ca75185ef5f1 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.