Triple
T31280927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shukri Ghanem |
E797665
|
entity |
| Predicate | officeStartTime (National Oil Corporation) |
P197954
|
FINISHED |
| Object | 2006 |
—
|
LITERAL 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: 2006 | Statement: [Shukri Ghanem, officeStartTime (National Oil Corporation), 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (National Oil Corporation) Context triple: [Shukri Ghanem, officeStartTime (National Oil Corporation), 2006]
-
A.
officeStartTime (President of Nigeria)
Indicates the date and time at which the President of Nigeria officially begins their term in office.
-
B.
officeStartTime (Administrator of UNDP)
Indicates the date and time at which the person began serving as Administrator of UNDP.
-
C.
officeStartTime (Deputy Governor of Bayelsa State)
Indicates the date and time at which the person began serving as Deputy Governor of Bayelsa State.
-
D.
officeStartTime (Secretary of Commerce)
Indicates the date and time at which a person begins serving in the role of Secretary of Commerce.
-
E.
officeStartTime (Governor of Bayelsa State)
Indicates the specific date and time at which an individual officially begins their tenure as Governor of Bayelsa State.
- F. None of above. chosen
Provenance (4 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
| PDg | Predicate description generation | batch_69febce420b081908e1c052751a22b1f |
completed | May 9, 2026, 4:49 a.m. |
Created at: April 29, 2026, 9:13 p.m.