Triple

T10147883
Position Surface form Disambiguated ID Type / Status
Subject Lee County, Florida E231750 entity
Predicate contains P35 FINISHED
Object Bonita Springs E296427 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: Bonita Springs | Statement: [Lee County, Florida, contains, Bonita Springs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonita Springs
Context triple: [Lee County, Florida, contains, Bonita Springs]
  • A. Bonita Springs chosen
    Bonita Springs is a coastal city in southwest Florida known for its Gulf beaches, parks, and resort communities.
  • B. Cape Coral
    Cape Coral is a rapidly growing coastal city in southwest Florida known for its extensive canal system and waterfront living.
  • C. 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.
  • D. Bradenton
    Bradenton is a city on Florida’s Gulf Coast known for its waterfront location along the Manatee River and proximity to popular beaches and the Sarasota–Bradenton metropolitan area.
  • E. Bradenton Beach
    Bradenton Beach is a small coastal city on Anna Maria Island in Florida known for its Gulf of Mexico beaches, fishing piers, and laid-back island 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_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_69d32ab35a508190a8eb1977e19ab8c5 completed April 6, 2026, 3:38 a.m.
Created at: March 30, 2026, 9:08 p.m.