Triple
T33256117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kassym-Jomart Tokayev |
E851380
|
entity |
| Predicate | termAsSenateChairmanEnd |
P4346
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Kassym-Jomart Tokayev, termAsSenateChairmanEnd, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsSenateChairmanEnd Context triple: [Kassym-Jomart Tokayev, termAsSenateChairmanEnd, 2011]
-
A.
termAsSenateChairmanStart
Indicates the date or point in time when an individual’s term as a senate chairman begins.
-
B.
chairmanshipEnd
Indicates the point in time or event at which an individual's role as chairperson of an organization or body comes to an end.
-
C.
termEnd National Senator
Indicates that a person’s term serving as a national senator has ended.
-
D.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
E.
lastOfficeholderEndDate
Indicates the date on which the most recent officeholder’s term in a given position or office ended.
- 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_69f34963135c819084e7f1d483421f00 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:31 a.m.