Triple
T6424119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oath of Office (Nigeria, President) |
E128014
|
entity |
| Predicate | governsOfficeTerm |
P7524
|
FINISHED |
| Object | four-year presidential term |
—
|
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: four-year presidential term | Statement: [Oath of Office (Nigeria, President), governsOfficeTerm, four-year presidential term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsOfficeTerm Context triple: [Oath of Office (Nigeria, President), governsOfficeTerm, four-year presidential term]
-
A.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
B.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
C.
parliamentaryTerm
Indicates the specific legislative session or fixed period of time during which a parliament is formally in office and exercises its authority.
-
D.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
E.
setsTermOfOfficeFor
chosen
Indicates that one entity establishes or defines the duration and conditions of the term of office for another entity.
- F. None of above.
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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06906eea88190a445c1ff1169c2b1 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.