Triple
T12467090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oru West |
E297951
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Ohaji-Egbema |
E1012706
|
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: Ohaji-Egbema | Statement: [Oru West, borderedBy, Ohaji-Egbema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohaji-Egbema Context triple: [Oru West, borderedBy, Ohaji-Egbema]
-
A.
Mmahu-Egbema
chosen
Mmahu-Egbema is a town in Imo State, southeastern Nigeria, serving as the administrative center of the Ohaji/Egbema Local Government Area.
-
B.
Arochukwu
Arochukwu is a historic town in southeastern Nigeria known as an important cultural and political center of the Igbo people and the former Aro Confederacy.
-
C.
Igbesa
Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
-
D.
Nkwerre
Nkwerre is a town and local government area in southeastern Nigeria known for its location within Imo State and its cultural and commercial activities.
-
E.
Owerri
Owerri is the capital and largest city of Imo State in southeastern Nigeria, known as a regional cultural and commercial center.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db979c481908778188794b2c08e |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a16408081909097d7e3ab750a27 |
completed | May 3, 2026, 8:40 a.m. |
Created at: April 8, 2026, 9:56 p.m.