Triple
T30716240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中共中央 |
E782029
|
entity |
| Predicate | 下设机构 |
P11471
|
FINISHED |
| Object | 中央书记处 |
—
|
NE NERFINISHED |
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: 中央书记处 | Statement: [中共中央, 下设机构, 中央书记处]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 下设机构 Context triple: [中共中央, 下设机构, 中央书记处]
-
A.
divisionOrStructure
Indicates a relationship where one entity is an internal division, department, or structural subunit that is organizationally contained within another entity.
-
B.
subsidiaryUnit
chosen
Indicates that one organizational unit functions as a subordinate or dependent division of another, higher-level unit.
-
C.
numberOfSubordinateAgencies
Indicates the total count of agencies that are hierarchically subordinate to a given parent agency.
-
D.
subunitOf
Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
-
E.
dividedInstitution
Indicates that an institution has been split into two or more distinct parts or factions, typically along organizational, ideological, or structural lines.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c5343b8819082ded39e2e8ee1c8 |
completed | May 2, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:35 p.m.