Triple
T6707403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganthier |
E153042
|
entity |
| Predicate | locatedIn |
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: [Ganthier, locatedIn, Ouest department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouest department Context triple: [Ganthier, locatedIn, 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.
Saint-Louis Department
Saint-Louis Department is an administrative division in northern Senegal that encompasses the historic city of Saint-Louis and its surrounding areas.
-
C.
Manche department
Manche department is a coastal administrative region in Normandy, northwestern France, known for its role in the D-Day landings and its rugged shoreline along the English Channel.
-
D.
Dakar Department
Dakar Department is an administrative division in western Senegal that encompasses the nation’s capital city and serves as its primary political and economic hub.
-
E.
Sud Department
Sud Department is an administrative region in southern Haiti known for its coastal cities, beaches, and agricultural activities.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1033bb881908c3360b715bf13cf |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77521651c8190aa10d3a7302e2a63 |
completed | March 28, 2026, 6:28 a.m. |
Created at: March 27, 2026, 2:06 p.m.