Triple
T15626525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asim Munir |
E375692
|
entity |
| Predicate | dateAssumedOffice |
P18957
|
FINISHED |
| Object | 2022-11-29 |
—
|
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: 2022-11-29 | Statement: [Asim Munir, dateAssumedOffice, 2022-11-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateAssumedOffice Context triple: [Asim Munir, dateAssumedOffice, 2022-11-29]
-
A.
timeInOfficeBeginsIn
chosen
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
B.
designationDate
Indicates the date on which an entity is formally assigned, designated, or given a particular status or role.
-
C.
lastOfficeHolderStartDate
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
D.
thirdOfficeHolderStartDate
Indicates the date on which the third person to hold a particular office or position began their term.
-
E.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.