Triple
T22618073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akosombo |
E558199
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Asuogyaman District |
—
|
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: Asuogyaman District | Statement: [Akosombo, partOf, Asuogyaman District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asuogyaman District Context triple: [Akosombo, partOf, Asuogyaman District]
-
A.
Asuogyaman District
chosen
Asuogyaman District is an administrative district in southeastern Ghana known for its location along the Volta River and proximity to the Akosombo Dam.
-
B.
Asuka District
Asuka District is a rural administrative district in Nara Prefecture, Japan, known for its rich Asuka-period historical sites and cultural heritage.
-
C.
Shinkay District
Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
-
D.
Nishiusuki District
Nishiusuki District is a rural administrative district in Miyazaki Prefecture, Japan, known for its mountainous terrain and small towns such as Takachiho.
-
E.
Shimajiri District
Shimajiri District is a rural administrative district in Okinawa Prefecture, Japan, encompassing several islands and coastal areas in the southern part of the prefecture.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167ef7a148190870334af9c8b79a4 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:59 p.m.