Triple
T16767693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bille language |
E407508
|
entity |
| Predicate | subfamily |
P4180
|
FINISHED |
| Object | Ijaw |
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 | Statement: [Bille language, subfamily, Ijaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ijaw Context triple: [Bille language, subfamily, Ijaw]
-
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.
Ondo
Ondo is a historic Yoruba town in southwestern Nigeria known for its traditional monarchy, cultural heritage, and role as a regional commercial center.
-
D.
Owode
Owode is a significant town within the Ado-Odo/Ota local government area of Ogun State in southwestern Nigeria.
-
E.
Igbesa
Igbesa is a prominent town in Ogun State, Nigeria, known for its growing industrial presence and educational institutions.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b033d6b88190a1366a58d63b0546 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b283a9808190ba76110cf3c7f3a9 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:21 a.m.