Triple
T5771938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State President of South Africa |
E127349
|
entity |
| Predicate | executiveRolePeriod |
P36144
|
FINISHED |
| Object | 1984-1994 |
—
|
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: 1984-1994 | Statement: [State President of South Africa, executiveRolePeriod, 1984-1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executiveRolePeriod Context triple: [State President of South Africa, executiveRolePeriod, 1984-1994]
-
A.
governedDuringPeriod
Indicates that a governing entity exercised authority or control over another entity throughout a specified time period.
-
B.
notableOfficePeriod
Indicates that an entity held a particular office or position during a specified time period.
-
C.
eligibilityPeriod
Indicates the span of time during which an entity qualifies for or is allowed to receive a particular benefit, service, or status.
-
D.
qualificationPeriod
Indicates the time span during which a party or entity must meet specified conditions or criteria to be considered qualified.
-
E.
timeInOfficeRelation
chosen
Indicates a temporal relationship specifying the duration or period that an entity holds or held a particular office or position.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:50 p.m.