Triple

T10616351
Position Surface form Disambiguated ID Type / Status
Subject Hendry County E276129 entity
Predicate hasSettlement P1068 FINISHED
Object Port LaBelle E832547 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: Port LaBelle | Statement: [Hendry County, hasSettlement, Port LaBelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port LaBelle
Context triple: [Hendry County, hasSettlement, Port LaBelle]
  • A. 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.
  • B. LaBelle, Florida chosen
    LaBelle, Florida is a small city in southwestern Florida known as a historic rural community along the Caloosahatchee River.
  • C. Ormond
    Ormond is a masculine given name of English origin that has been borne by various notable individuals.
  • D. Ormond
    Ormond is a historic cultural region in Ireland traditionally associated with the northern part of County Tipperary and the legacy of the Earls of Ormond.
  • E. Punta Gorda
    Punta Gorda is a small coastal town in southern Belize known as a gateway to nearby Mayan villages, offshore cayes, and eco-tourism sites.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6d76dc8190bd8d481fed3225d9 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ecfb9bc81908d8ed054a30be441 completed April 10, 2026, 8:34 p.m.
Created at: April 8, 2026, 7:33 p.m.