Triple
T9550666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Florida International Airport |
E230412
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fort Myers |
E267242
|
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: Fort Myers | Statement: [Southwest Florida International Airport, locatedIn, Fort Myers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Myers Context triple: [Southwest Florida International Airport, locatedIn, Fort Myers]
-
A.
Fort Myers, Florida
chosen
Fort Myers, Florida is a Gulf Coast city known as a popular tourist destination and longtime spring training home for Major League Baseball teams.
-
B.
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.
-
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.
Cape Coral
Cape Coral is a rapidly growing coastal city in southwest Florida known for its extensive canal system and waterfront living.
-
E.
Wellington, Florida
Wellington, Florida is an affluent village in Palm Beach County known as a major international equestrian center and winter polo capital of the world.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd991df7308190a56d95f195627513 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190d741588190a2cced8da13036bb |
completed | April 4, 2026, 10:29 p.m. |
Created at: March 30, 2026, 8:02 p.m.