Triple
T10616348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendry County |
E276129
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Clewiston |
E676097
|
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: Clewiston | Statement: [Hendry County, hasSettlement, Clewiston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clewiston Context triple: [Hendry County, hasSettlement, Clewiston]
-
A.
Clewiston, Florida
chosen
Clewiston, Florida is a small city on the southern shore of Lake Okeechobee known for its sugar industry and agricultural economy.
-
B.
Bonita Springs
Bonita Springs is a coastal city in southwest Florida known for its Gulf beaches, parks, and resort communities.
-
C.
Cape Coral
Cape Coral is a rapidly growing coastal city in southwest Florida known for its extensive canal system and waterfront living.
-
D.
Eustis
Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
-
E.
Westville, Florida
Westville, Florida is a small rural town located in the Florida Panhandle.
- 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_69d96b7bb7108190b0f1cbe4117abec0 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 7:33 p.m.