Triple
T15651711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikwerre Local Government Area |
E376327
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Isiokpo |
E1169450
|
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: Isiokpo | Statement: [Ikwerre Local Government Area, hasSettlement, Isiokpo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isiokpo Context triple: [Ikwerre Local Government Area, hasSettlement, Isiokpo]
-
A.
Isiokpo
chosen
Isiokpo is a town in Rivers State, Nigeria, known as an administrative and commercial center within the Ikwerre region.
-
B.
Isi-Uzo
Isi-Uzo is a local government area in southeastern Nigeria known for its predominantly rural communities and cultural ties to the larger Enugu region.
-
C.
Igbesa
Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
-
D.
Ikposo
Ikposo is a Niger-Congo language spoken primarily by the Akposso people in Togo and parts of neighboring West African countries.
-
E.
Ugbokpo
Ugbokpo is a town in Benue State, Nigeria, serving as the administrative headquarters of Apa Local Government Area.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed4d9f88190b7e24bf84c5a916f |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.