Triple
T1846080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hu Jintao |
E41285
|
entity |
| Predicate | officeStartTime (as President of China) |
P1383
|
FINISHED |
| Object | 2003-03-15 |
—
|
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: 2003-03-15 | Statement: [Hu Jintao, officeStartTime (as President of China), 2003-03-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (as President of China) Context triple: [Hu Jintao, officeStartTime (as President of China), 2003-03-15]
-
A.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
-
B.
officeStartAsPrimeMinister
Indicates the point in time when an individual begins their term serving in the role of prime minister.
-
C.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
D.
officeStartAfter
Indicates that one entity’s term or period in office begins after another specified time or event.
-
E.
officeStart
chosen
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
- 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.