Triple
T28244676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice President of Afghanistan |
E712130
|
entity |
| Predicate | lastIncumbentTitle |
P13875
|
FINISHED |
| Object | First Vice President of Afghanistan |
—
|
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: First Vice President of Afghanistan | Statement: [Vice President of Afghanistan, lastIncumbentTitle, First Vice President of Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastIncumbentTitle Context triple: [Vice President of Afghanistan, lastIncumbentTitle, First Vice President of Afghanistan]
-
A.
lastIncumbent
chosen
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
B.
currentOfficeHolderTitle
Indicates the official title or position name held by the person who currently occupies a given office or role.
-
C.
previousHeadOfStateTitle
Indicates that one entity is the official title or designation held by another entity in its role as a former head of state.
-
D.
lastHolderTitle
Indicates the official title or position held by the most recent holder of a given role, asset, or entity.
-
E.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643c84f1c8190879e643c18e74e75 |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 11 p.m.