Triple
T1846081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hu Jintao |
E41285
|
entity |
| Predicate | officeEndTime (as General Secretary of the CCP) |
P4346
|
FINISHED |
| Object | 2012-11-15 |
—
|
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: 2012-11-15 | Statement: [Hu Jintao, officeEndTime (as General Secretary of the CCP), 2012-11-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (as General Secretary of the CCP) Context triple: [Hu Jintao, officeEndTime (as General Secretary of the CCP), 2012-11-15]
-
A.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
B.
officeEndForNKVDChief
Indicates the date or event marking when an individual’s tenure as NKVD chief ended.
-
C.
servedAsHeadOfTheChancelleryUntil
Indicates that a person held the position of head of the chancellery up to a specified end date or time.
-
D.
laterPoliticalCommissar
Indicates that the person served as a political commissar of the specified unit or organization at a later point in time (not necessarily their first or only such role).
-
E.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.