Triple
T1948952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Military Commission of the People's Republic of China |
E42116
|
entity |
| Predicate | currentChairmanStartTime |
P1653
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Central Military Commission of the People's Republic of China, currentChairmanStartTime, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentChairmanStartTime Context triple: [Central Military Commission of the People's Republic of China, currentChairmanStartTime, 2012]
-
A.
currentChairStartDate
chosen
Indicates the date on which the person’s current term as chair officially began.
-
B.
currentRepresentativeSince
Indicates the date or time from which an entity has been serving as the current representative of another entity.
-
C.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
D.
hasChairmanTitle
Indicates that an entity holds the position or official title of chairman in relation to another entity or organization.
-
E.
hasFormerChairperson
Indicates that an entity previously held the role of chairperson of another entity, but no longer occupies that 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3315df481908f60cd87453fbc03 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.