Triple
T480434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Nigeria |
E9154
|
entity |
| Predicate | hasState |
P35
|
FINISHED |
| Object | Gombe State |
E61525
|
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: Gombe State | Statement: [Northern Nigeria, hasState, Gombe State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gombe State Context triple: [Northern Nigeria, hasState, Gombe State]
-
A.
Imo State
Imo State is a southeastern Nigerian state known for its oil-rich economy, dense population, and cultural heritage of the Igbo people.
-
B.
Gombe
chosen
Gombe is a major city in northeastern Nigeria that serves as the capital and economic hub of Gombe State.
-
C.
Gombe
Gombe is a region in western Tanzania best known for its national park where pioneering primatologist Jane Goodall conducted her landmark chimpanzee research.
-
D.
Kebbi State
Kebbi State is a landlocked state in northwestern Nigeria known for its agriculture, fishing, and the annual Argungu Fishing Festival.
-
E.
Cross River State
Cross River State is a coastal state in southeastern Nigeria known for its rich biodiversity, rainforest reserves, and the city of Calabar, a major cultural and tourism 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f057c4ac819080cf43ffaa56c350 |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ff465c2c819083d63547a4d0572a |
completed | March 2, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.