Triple
T714658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ijaw |
E14285
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Ijaw of Bayelsa |
E14285
|
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: Ijaw of Bayelsa | Statement: [Ijaw, hasSubgroup, Ijaw of Bayelsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ijaw of Bayelsa Context triple: [Ijaw, hasSubgroup, Ijaw of Bayelsa]
-
A.
Ijaw
chosen
The Ijaw are one of the largest ethnic groups in the Niger Delta region of Nigeria, known for their riverine culture, fishing traditions, and significant role in the country's oil-producing areas.
-
B.
Yenagoa
Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
-
C.
Edo State
Edo State is an inland state in southern Nigeria known for its capital Benin City, rich Benin Kingdom heritage, and role as a cultural and economic hub in the region.
-
D.
Bayelsa State
Bayelsa State is a coastal oil-producing state in southern Nigeria, known for its extensive mangrove forests and central role in the country’s petroleum industry.
-
E.
Ogun State
Ogun State is a southwestern Nigerian state known as a key Yoruba cultural heartland and an important industrial and educational hub.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5738e04819082eac673b3b7c4c2 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a678759a2881909da848991d7d3ef4 |
completed | March 3, 2026, 5:58 a.m. |
Created at: March 1, 2026, 7:36 p.m.