Triple
T9914239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Bahamas |
E185826
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bimini |
E76788
|
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: Bimini | Statement: [Northern Bahamas, hasPart, Bimini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bimini Context triple: [Northern Bahamas, hasPart, Bimini]
-
A.
Bimini
chosen
Bimini is a small chain of islands in the western Bahamas known for its clear waters, fishing, and association with Ernest Hemingway.
-
B.
Grand Bahama
Grand Bahama is one of the northernmost and most developed islands of the Bahamas, known for its tourism, beaches, and the city of Freeport.
-
C.
Exuma
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.
-
D.
Eleuthera
Eleuthera is a long, narrow island in the Bahamas known for its pink sand beaches, clear turquoise waters, and laid-back, rural atmosphere.
-
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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53ba1ac8190ba655133b81596d7 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2578390888190b60f3962aec37b2d |
completed | April 5, 2026, 12:37 p.m. |
Created at: March 30, 2026, 8:41 p.m.