Triple
T27666487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 state of emergency in Pakistan |
E697240
|
entity |
| Predicate | removedFromOfficePosition |
P33620
|
FINISHED |
| Object | Chief Justice of Pakistan |
—
|
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: Chief Justice of Pakistan | Statement: [2007 state of emergency in Pakistan, removedFromOfficePosition, Chief Justice of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: removedFromOfficePosition Context triple: [2007 state of emergency in Pakistan, removedFromOfficePosition, Chief Justice of Pakistan]
-
A.
removedFromPublicDuties
chosen
Indicates that an entity has been taken out of roles or responsibilities that involve serving or representing the public.
-
B.
steppedDownFromPosition
Indicates that an entity voluntarily left, resigned from, or otherwise ceased to hold a particular role or position.
-
C.
methodOfRemovalFromOffice
Indicates the specific process or procedure by which an officeholder is removed from their position.
-
D.
succeedsFromOffice
Indicates that one officeholder directly follows another in holding the same office or position.
-
E.
removedFrom
Indicates that one entity has been taken away, extracted, or detached from another entity or context.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f634a401e08190b2144d47f1df15e0 |
completed | May 2, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:38 p.m.