Triple
T10777203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aniocha South |
E254228
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Oko |
E884094
|
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: Oko | Statement: [Aniocha South, hasSettlement, Oko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oko Context triple: [Aniocha South, hasSettlement, Oko]
-
A.
Oko
chosen
Oko is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
-
B.
OKO
OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
-
C.
Oku
Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
-
D.
Okak
Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
-
E.
Okoa
Okoa is a small island located within the Vavaʻu island group in the Kingdom of Tonga, known for its tropical marine environment.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55daf52c8190aee3bca39cdc5d55 |
completed | April 14, 2026, 2:57 p.m. |
Created at: April 8, 2026, 9:16 p.m.