Triple
T12099643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igbogbo-Baiyeku Local Council Development Area |
E288157
|
entity |
| Predicate | includesTown |
P847
|
FINISHED |
| Object | Igbogbo |
E969037
|
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: Igbogbo | Statement: [Igbogbo-Baiyeku Local Council Development Area, includesTown, Igbogbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igbogbo Context triple: [Igbogbo-Baiyeku Local Council Development Area, includesTown, Igbogbo]
-
A.
Igbogbo
chosen
Igbogbo is a town in Lagos State, Nigeria, known as a growing suburban community within the Ikorodu axis.
-
B.
Ejigbo
Ejigbo is a prominent town and local government area in southwestern Nigeria, known for its Yoruba cultural heritage and role as a commercial and agricultural center.
-
C.
Igbokoda
Igbokoda is a prominent riverine town in southwestern Nigeria known for its fishing activities and waterways.
-
D.
Rumuigbo
Rumuigbo is a prominent suburban town in Rivers State, Nigeria, situated within the greater Port Harcourt metropolitan area.
-
E.
Ogbolomabiri
Ogbolomabiri is a prominent riverine town within the Nembe area of Bayelsa State in Nigeria, known historically as part of the Nembe Kingdom.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9155465388190bbe52453c9b11912 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e44c50081909041b006943a6b06 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:48 p.m.