Triple
T12099840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iganmu |
E288161
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Orile |
E306869
|
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: Orile | Statement: [Iganmu, locatedNear, Orile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orile Context triple: [Iganmu, locatedNear, Orile]
-
A.
Orile
chosen
Orile is a residential and commercial neighborhood located within the Surulere area of Lagos, Nigeria.
-
B.
Olor
Olor is a settlement located within Aniocha South Local Government Area in Delta State, Nigeria.
-
C.
Oloibiri
Oloibiri is a historic town in Bayelsa State, Nigeria, best known as the site where commercial quantities of crude oil were first discovered in the country.
-
D.
Ikwerre
Ikwerre is a Niger-Congo language spoken primarily by the Ikwerre people in Rivers State, Nigeria, particularly in and around Port Harcourt.
-
E.
Anizi
Anizi refers to a member or native of the Anizah (Anaza) tribe, a large and historically influential Arab tribal confederation originating in the Arabian Peninsula.
- 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_69f5f6724de481909fe29e3278136ea2 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.