Triple
T19526294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Gold Coast |
E488525
|
entity |
| Predicate | tradingPost |
P75307
|
FINISHED |
| Object | Butre |
—
|
NE NERFINISHED |
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: Butre | Statement: [Swedish Gold Coast, tradingPost, Butre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butre Context triple: [Swedish Gold Coast, tradingPost, Butre]
-
A.
Butre
chosen
Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
-
B.
Blinoise
Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
-
C.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
D.
Louletanos
Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
-
E.
Crépol
Crépol is a small commune in southeastern France’s Drôme department, known for its rural character within the Auvergne-Rhône-Alpes region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363aeb8c8190be2bdd73e421af96 |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.