Triple
T9640279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jintao |
E233044
|
entity |
| Predicate | associatedWithPersonPosition |
P12885
|
FINISHED |
| Object | President of the People's Republic of China |
—
|
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: President of the People's Republic of China | Statement: [Jintao, associatedWithPersonPosition, President of the People's Republic of China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPersonPosition Context triple: [Jintao, associatedWithPersonPosition, President of the People's Republic of China]
-
A.
occupationOfAssociatedPerson
Indicates the job or professional role held by a person who is associated with another referenced entity.
-
B.
namedPersonRole
chosen
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
C.
personReferredToPosition
Indicates that one entity has been mentioned or cited as a candidate or occupant for a particular role, job, or position.
-
D.
associatedWithRank
Indicates a relationship where an entity is linked to a specific rank, level, or hierarchical position.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b552a1c81909a1fab347110eeb1 |
completed | April 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:12 p.m.