Triple
T15266399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagos Mainland |
E364910
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Akoka |
E969040
|
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: Akoka | Statement: [Lagos Mainland, hasNeighbourhood, Akoka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akoka Context triple: [Lagos Mainland, hasNeighbourhood, Akoka]
-
A.
Akoka
chosen
Akoka is a neighborhood in Lagos, Nigeria, known for hosting parts of the University of Lagos and being situated within the Yaba area.
-
B.
Ogwa
Ogwa is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
-
C.
Oglewu
Oglewu is a town in Ohimini Local Government Area of Benue State, Nigeria.
-
D.
Ibafo
Ibafo is a rapidly developing suburban town in Ogun State, Nigeria, situated close to Lagos and known for its growing residential estates and commercial activity.
-
E.
Anoyo
Anoyo is a 2019 experimental ambient album by Canadian electronic composer Tim Hecker, noted for its ethereal soundscapes and integration of traditional Japanese instrumentation.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee600340c8190a1888d35c2c1bc86 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.