Triple
T2677484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warri |
E56493
|
entity |
| Predicate | localGovernmentArea |
P3379
|
FINISHED |
| Object | Warri South |
E56493
|
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: Warri South | Statement: [Warri, localGovernmentArea, Warri South]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warri South Context triple: [Warri, localGovernmentArea, Warri South]
-
A.
Warri
chosen
Warri is a prominent oil-producing and commercial city in southern Nigeria that serves as a key economic hub of the Niger Delta region.
-
B.
Yenagoa
Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
-
C.
Ijaw
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.
-
D.
Rivers State
Rivers State is a major oil-producing state in southern Nigeria, known for its capital Port Harcourt and its central role in the country’s petroleum and petrochemical industries.
-
E.
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.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b697fc8190a5ec8b75ee2ad238 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa065a6f48190973a3b6c52aa23bf |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.