Triple
T8343157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abaco National Park |
E195970
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Abaco |
E716186
|
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: Abaco | Statement: [Abaco National Park, locatedInRegion, Abaco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abaco Context triple: [Abaco National Park, locatedInRegion, Abaco]
-
A.
Abaco
chosen
Abaco is a group of islands and cays in the northern Bahamas known for its boating, fishing, and picturesque colonial-style settlements.
-
B.
Guane
Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
-
C.
Guane
Guane is a small, historic village in Colombia’s Santander department, known for its preserved colonial architecture and tranquil rural atmosphere.
-
D.
Culebrita
Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
-
E.
Basco
Basco is a small coastal town in the northern Philippines known as the administrative and cultural center of the remote, scenic Batanes island province.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7febde288190bf4677fb24d26b83 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7a8595c81909f24a4b7af37f9f2 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:58 p.m.