Triple
T1603286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashraf Ghani |
E34442
|
entity |
| Predicate | officeStartForPresidentOfAfghanistan |
P8144
|
FINISHED |
| Object | 2014-09-29 |
—
|
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: 2014-09-29 | Statement: [Ashraf Ghani, officeStartForPresidentOfAfghanistan, 2014-09-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForPresidentOfAfghanistan Context triple: [Ashraf Ghani, officeStartForPresidentOfAfghanistan, 2014-09-29]
-
A.
officeStartForPresident
chosen
Indicates the date or point in time when a person begins serving in the role of president.
-
B.
officeStartAsPrimeMinister
Indicates the point in time when an individual begins their term serving in the role of prime minister.
-
C.
secretaryGeneralStart
Indicates the date or point in time when an individual begins serving as secretary general of an organization or body.
-
D.
officeHolderStartEvent
Indicates the event or point in time when an individual begins holding a particular office or official position.
-
E.
officeStartAsMinisterOfNativeAffairs
Indicates the point in time when an individual begins serving in the role of Minister of Native Affairs.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.