Triple

T10147880
Position Surface form Disambiguated ID Type / Status
Subject Lee County, Florida E231750 entity
Predicate contains P35 FINISHED
Object Cape Coral E294112 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: Cape Coral | Statement: [Lee County, Florida, contains, Cape Coral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cape Coral
Context triple: [Lee County, Florida, contains, Cape Coral]
  • A. Cape Coral chosen
    Cape Coral is a rapidly growing coastal city in southwest Florida known for its extensive canal system and waterfront living.
  • B. Bonita Springs
    Bonita Springs is a coastal city in southwest Florida known for its Gulf beaches, parks, and resort communities.
  • C. Fort Pierce
    Fort Pierce is a coastal city on Florida’s Treasure Coast known for its historic downtown, fishing and boating, and role as the seat of St. Lucie County.
  • D. Vero Beach
    Vero Beach is a coastal city in Florida known for its Atlantic beaches, relaxed resort atmosphere, and role as a gateway to the Treasure Coast.
  • E. Riviera Beach
    Riviera Beach is a coastal city in Palm Beach County, Florida, known for its marina, beaches, and proximity to the Port of Palm Beach.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec011c24819089b456fc8b9ed80c completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3175fa0c0819088d372f534f9447e completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 9:08 p.m.