Triple
T2322463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exuma |
E48212
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Exuma Cays |
E48212
|
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: Exuma Cays | Statement: [Exuma, hasPart, Exuma Cays]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exuma Cays Context triple: [Exuma, hasPart, Exuma Cays]
-
A.
Exuma
chosen
Exuma is a picturesque district of the Bahamas made up of over 365 islands and cays, famed for its clear turquoise waters, white-sand beaches, and swimming pigs.
-
B.
Bimini
Bimini is a small chain of islands in the western Bahamas known for its clear waters, fishing, and association with Ernest Hemingway.
-
C.
Cayman Brac
Cayman Brac is a small, rugged Caribbean island in the Cayman Islands known for its dramatic limestone bluff, caves, and excellent diving and snorkeling sites.
-
D.
Harbour Island
Harbour Island is a small, picturesque Bahamian island and settlement renowned for its pink sand beaches and charming colonial-era town.
-
E.
Anegada
Anegada is a low-lying coral island in the Caribbean known for its extensive reefs, secluded beaches, and rich marine life.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc645bac081908c0b161d0ca99aaf |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96139e688190847bfa872bd08ed4 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:49 p.m.