Triple
T19166413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyako, Ghana |
E469194
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Keta |
—
|
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: Keta | Statement: [Anyako, Ghana, locatedNear, Keta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keta Context triple: [Anyako, Ghana, locatedNear, Keta]
-
A.
Keta
chosen
Keta is a coastal town in southeastern Ghana known for its fishing community, historical forts, and vulnerability to coastal erosion.
-
B.
Gadus
Gadus is a genus of marine fish that includes the economically important true cods found in cold and temperate waters of the Northern Hemisphere.
-
C.
Alosa
Alosa is a genus of shad fishes in the herring family, known for their migratory behavior between marine and freshwater environments.
-
D.
Salmo
Salmo is a genus of salmonid fish that includes species such as the Atlantic salmon and various trout native mainly to the North Atlantic and its tributaries.
-
E.
Chub
Chub is a common nickname, notably associated with longtime Major League Baseball executive Chub Feeney.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15ee064819087f9fd822236298f |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.