Triple
T33704828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakhytzhan Sagintayev |
E863557
|
entity |
| Predicate | officeStartTime (Prime Minister of Kazakhstan) |
P101926
|
FINISHED |
| Object | 2016-09-09 |
—
|
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: 2016-09-09 | Statement: [Bakhytzhan Sagintayev, officeStartTime (Prime Minister of Kazakhstan), 2016-09-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Prime Minister of Kazakhstan) Context triple: [Bakhytzhan Sagintayev, officeStartTime (Prime Minister of Kazakhstan), 2016-09-09]
-
A.
officeStartTime (Prime Minister)
chosen
Indicates the specific time at which the Prime Minister’s term in office officially begins.
-
B.
officeStartTime (Prime Minister of Australia)
Indicates the date and time at which the person began serving as Prime Minister of Australia.
-
C.
officeStartTime (President of India)
Indicates the specific date and time at which the President of India officially begins their term in office.
-
D.
officeStartTime (President of Estonia)
Indicates the time at which the President of Estonia officially begins their term in office.
-
E.
officeStartTime (President of Syria)
Indicates the date and time at which the President of Syria officially began their term in 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: May 1, 2026, 1:43 a.m.