Triple
T323901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Communist Party |
E6471
|
entity |
| Predicate | chairmanTitle |
P377
|
FINISHED |
| Object | Chairman of the Central Military Commission |
—
|
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: Chairman of the Central Military Commission | Statement: [Chinese Communist Party, chairmanTitle, Chairman of the Central Military Commission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chairmanTitle Context triple: [Chinese Communist Party, chairmanTitle, Chairman of the Central Military Commission]
-
A.
chairperson
chosen
Indicates that one entity serves as the leader or head of a group, committee, or organization in relation to another entity.
-
B.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
C.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
-
D.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
-
E.
civilianLeaderTitle
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e949364c8190bc2351f5413f5057 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.