Triple
T32413388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zafarullah Khan Jamali |
E828282
|
entity |
| Predicate | officeHolderFor |
P537
|
FINISHED |
| Object | Government of Pakistan |
—
|
NE NERFINISHED |
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: Government of Pakistan | Statement: [Zafarullah Khan Jamali, officeHolderFor, Government of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderFor Context triple: [Zafarullah Khan Jamali, officeHolderFor, Government of Pakistan]
-
A.
officeHolderOf
chosen
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
B.
officeHolderIs
Indicates that one entity serves as the office holder (e.g., official or position occupant) of another entity, such as an office, role, or institution.
-
C.
officeHolderRoleFor
Indicates that a specific role or position is held by an office holder within an organization or governing body.
-
D.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
E.
officeHolderFrom
Indicates that a person holds or has held an official position or office originating from or associated with a specific place or jurisdiction.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 1, 2026, 12:53 a.m.