Triple
T12788978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ifẹ people |
E305705
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Ifẹ |
E620760
|
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: Ifẹ | Statement: [Ifẹ people, hasDemonym, Ifẹ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ifẹ Context triple: [Ifẹ people, hasDemonym, Ifẹ]
-
A.
Fayemi
Fayemi is a Nigerian surname most prominently associated with Kayode Fayemi, a politician and former governor of Ekiti State.
-
B.
Efejoku
Efejoku is a popular Nigerian street-hop song by rapper Lil Kesh, known for its energetic beat and club-friendly vibe.
-
C.
Ifewara
Ifewara is a notable town in southwestern Nigeria associated with the Ijesha people and culture.
-
D.
Ifè
chosen
Ifè is a Niger-Congo language spoken primarily in Togo and Benin by the Ifè (Ana) people.
-
E.
Ifelodun
Ifelodun is a local government area in Kwara State, Nigeria, known for its predominantly agrarian communities and diverse Yoruba-speaking population.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6a61f48190972e241e70bc392c |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850703948190984acf9e434cd2a7 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.