Triple
T7262012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonâve Island |
E159677
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ouest Department |
E28121
|
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: Ouest Department | Statement: [Gonâve Island, partOf, Ouest Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouest Department Context triple: [Gonâve Island, partOf, Ouest Department]
-
A.
Ouest Department
chosen
Ouest Department is an administrative region in western Haiti that includes the capital city, Port-au-Prince, and serves as the country’s political and economic center.
-
B.
Nord-Ouest Department
Nord-Ouest Department is an administrative region in northwestern Haiti known for its arid climate, coastal areas along the Caribbean Sea, and the historic city of Port-de-Paix.
-
C.
Wouri Department
Wouri Department is an administrative division in Cameroon that encompasses the major economic hub and port city of Douala.
-
D.
Sud Department
Sud Department is an administrative region in southern Haiti known for its coastal cities, beaches, and agricultural activities.
-
E.
Beni Department
Beni Department is a large, sparsely populated administrative region in northern Bolivia known for its vast Amazonian lowlands, wetlands, and cattle ranching.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac8bc908190b0e4da5474ecb62f |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9061709f48190a9e198dac225aed4 |
completed | March 29, 2026, 10:59 a.m. |
Created at: March 27, 2026, 2:57 p.m.