Triple
T23776907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hibatullah Akhundzada |
E587699
|
entity |
| Predicate | assumed_office |
P7411
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Hibatullah Akhundzada, assumed_office, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assumed_office Context triple: [Hibatullah Akhundzada, assumed_office, 2016]
-
A.
succeededToOfficeIn
Indicates that one entity assumed or took over an office or position previously held by another entity at a specified time or in a specified succession.
-
B.
currentSpeakerAssumedOffice
Indicates that the person who is currently serving as speaker has taken up or begun holding a particular office or position.
-
C.
positionInaugurated
chosen
Indicates that a person formally assumed a specific position or office at a particular point in time.
-
D.
termOfOfficeInaugurated
Indicates the event or date on which an individual officially begins their term of office through an inauguration.
-
E.
officeAssumedAsPresidentFollowing
Indicates that one entity assumed the office of president immediately after another entity, in a direct succession.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c46d55588190ad9c7e3c729b6b17 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.