Triple
T30716239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中共中央 |
E782029
|
entity |
| Predicate | 现任总书记就任时间 |
P170491
|
FINISHED |
| Object | 2012年11月 |
—
|
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年11月 | Statement: [中共中央, 现任总书记就任时间, 2012年11月]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 现任总书记就任时间 Context triple: [中共中央, 现任总书记就任时间, 2012年11月]
-
A.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
B.
officeStartTime (President of the Republic of China)
Indicates the date and time at which a person begins their term in office as President of the Republic of China.
-
C.
startTimeAsHeadOfState
Indicates the date and time when an individual begins their tenure or service as a head of state.
-
D.
startTimeAsECPresident
Indicates the point in time at which an individual begins their term serving as President of the European Commission.
-
E.
tookOfficeAfter
Indicates that one entity assumed an official position or office at a later time than another entity did.
- F. None of above. chosen
Provenance (4 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 8:35 p.m.