Triple
T18575598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aba campus |
E453977
|
entity |
| Predicate | isInCountry |
P846
|
FINISHED |
| Object | Nigeria |
—
|
NE NERFINISHED |
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: Nigeria | Statement: [Aba campus, isInCountry, Nigeria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigeria Context triple: [Aba campus, isInCountry, Nigeria]
-
A.
Nigeria
chosen
Nigeria is a populous West African country known for its diverse ethnic groups, rich cultural heritage, and status as Africa’s largest economy and oil producer.
-
B.
Jos, Nigeria
Jos, Nigeria is a major city in central Nigeria known as the capital of Plateau State and recognized for its relatively cool climate and diverse cultural heritage.
-
C.
Nsukka, Nigeria
Nsukka, Nigeria is a university town in southeastern Nigeria known for its influential art scene and as a center of contemporary African art.
-
D.
Nazaire
Nazaire is a masculine given name of French origin, historically borne by figures such as the revolutionary-era writer and politician Fabre d’Églantine.
-
E.
Cameroon
Cameroon is a Central African country known for its cultural and linguistic diversity, varied geography from coast to rainforest and savanna, and a mixed French-English colonial heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c9d26c8190a80dda411cd0c9ac |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.