Triple
T32796406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 152A of the Constitution of Pakistan |
E838776
|
entity |
| Predicate | introducedDuringOfficeOf |
P41197
|
FINISHED |
| Object | President 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: President of Pakistan | Statement: [Article 152A of the Constitution of Pakistan, introducedDuringOfficeOf, President of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedDuringOfficeOf Context triple: [Article 152A of the Constitution of Pakistan, introducedDuringOfficeOf, President of Pakistan]
-
A.
introducedDuring
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
B.
tookOfficeDuring
Indicates that one entity assumed or held an official position within the time period defined by another entity or event.
-
C.
introducedByOffice
chosen
Indicates that something (such as a proposal, bill, or document) was formally initiated or submitted by a specific office or administrative unit.
-
D.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
E.
chronologyWithinOffice
Indicates that one event or action occurs within the temporal span of another event or action associated with the same office or term of office.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:14 a.m.