Triple
T19166403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyako, Ghana |
E469194
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Keta Municipal District |
—
|
NE NERFINISHED |
How this triple was built (3 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 Municipal District | Statement: [Anyako, Ghana, partOf, Keta Municipal District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keta Municipal District Context triple: [Anyako, Ghana, partOf, Keta Municipal District]
-
A.
Nanaysky District
Nanaysky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its rural settlements along the Amur River and its indigenous Nanai population.
-
B.
Kashinsky District
Kashinsky District is an administrative district (raion) in Tver Oblast, Russia, known for its historical town of Kashin and its location in the central part of European Russia.
-
C.
Kastorensky District
Kastorensky District is an administrative and municipal district in Kursk Oblast, Russia, known for its rural settlements including the locality of Kastornoye.
-
D.
Luninets District
Luninets District is an administrative district (raion) in the Brest Region of Belarus, known for its agricultural landscape and location in the Polesia region.
-
E.
Kobyaysky District
Kobyaysky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its vast, sparsely populated territory in the Siberian Far East.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keta Municipal District Target entity description: Keta Municipal District is an administrative district in Ghana’s Volta Region, centered around the coastal town of Keta and encompassing nearby communities such as Anyako.
-
A.
Nanaysky District
Nanaysky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its rural settlements along the Amur River and its indigenous Nanai population.
-
B.
Kashinsky District
Kashinsky District is an administrative district (raion) in Tver Oblast, Russia, known for its historical town of Kashin and its location in the central part of European Russia.
-
C.
Kastorensky District
Kastorensky District is an administrative and municipal district in Kursk Oblast, Russia, known for its rural settlements including the locality of Kastornoye.
-
D.
Luninets District
Luninets District is an administrative district (raion) in the Brest Region of Belarus, known for its agricultural landscape and location in the Polesia region.
-
E.
Kobyaysky District
Kobyaysky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its vast, sparsely populated territory in the Siberian Far East.
- F. None of above. chosen
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.