Triple
T12460099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atiku Abubakar |
E297764
|
entity |
| Predicate | hasHonorificPrefix |
P368
|
FINISHED |
| Object | Alhaji |
E767818
|
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: Alhaji | Statement: [Atiku Abubakar, hasHonorificPrefix, Alhaji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alhaji Context triple: [Atiku Abubakar, hasHonorificPrefix, Alhaji]
-
A.
Alhaji
chosen
Alhaji is a male given name commonly used in West Africa and other Muslim communities, often signifying that the bearer has completed the Islamic pilgrimage to Mecca.
-
B.
Ahmadu Ali
Ahmadu Ali is a Nigerian politician and former national chairman of the Peoples Democratic Party who has also served in various governmental and public service roles.
-
C.
Dutse Alhaji
Dutse Alhaji is a suburban district within Nigeria’s Federal Capital Territory, functioning as a major residential and commercial hub in the Bwari Area Council.
-
D.
Haji Bakr
Haji Bakr was a former Iraqi military intelligence officer who became a key architect and senior strategist of the Islamic State’s rise in Syria and Iraq.
-
E.
Ebrahim Adia
Ebrahim Adia is a British higher education leader who serves as Vice-Chancellor of the University of Wolverhampton.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db465c48190bcfaf22f25ef8947 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1d4f248190a0805e17da42eaf7 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.