Triple
T1853867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okaloosa Island |
E41657
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Destin |
E33438
|
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: Destin | Statement: [Okaloosa Island, hasCity, Destin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Destin Context triple: [Okaloosa Island, hasCity, Destin]
-
A.
Destin
chosen
Destin is a popular coastal city on Florida’s Emerald Coast known for its white-sand beaches, emerald-green waters, and world-class fishing.
-
B.
Fort Walton Beach
Fort Walton Beach is a coastal city in Florida known for its white-sand beaches, emerald-green Gulf waters, and role as a popular vacation and military community near Eglin Air Force Base.
-
C.
Pensacola Beach
Pensacola Beach is a popular Gulf Coast destination on Santa Rosa Island in Florida, known for its sugar-white sand, emerald-green waters, and laid-back resort atmosphere.
-
D.
Gulf Shores
Gulf Shores is a popular coastal resort city on Alabama’s Gulf of Mexico shoreline, known for its white-sand beaches and tourism.
-
E.
Orange Beach
Orange Beach is a coastal resort city on Alabama’s Gulf Coast known for its white-sand beaches, boating, and vacation attractions.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb06b3f08819092b3fbdff83b3097 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c9c6208190a2793994a7f927bd |
completed | March 8, 2026, 7:11 p.m. |
Created at: March 4, 2026, 7:33 p.m.