Triple
T12897400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arochukwu |
E308529
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Igboland |
E409198
|
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: Igboland | Statement: [Arochukwu, region, Igboland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igboland Context triple: [Arochukwu, region, Igboland]
-
A.
Igboland
chosen
Igboland is the traditional homeland of the Igbo ethnic group in southeastern Nigeria, known for its rich cultural heritage, dense population, and historical role in West African trade and politics.
-
B.
Igbore
Igbore is an urban neighborhood within the city of Abeokuta in Ogun State, southwestern Nigeria.
-
C.
Ijeshaland
Ijeshaland is a culturally rich Yoruba sub-region in southwestern Nigeria, traditionally inhabited by the Ijesha people and known for its distinct language dialect, festivals, and historical heritage.
-
D.
Ijebuland
Ijebuland is a historic Yoruba sub-region in southwestern Nigeria, known for its distinct cultural heritage, traditional institutions, and influential Ijebu people.
-
E.
Ogoniland
Ogoniland is an oil-rich coastal region in Nigeria’s Niger Delta, known for its Ogoni inhabitants and for severe environmental degradation linked to decades of petroleum extraction.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717f3fc48190b61c8f6f36cd0725 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b96f72881909090691e99bb2425 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 5:40 p.m.