Triple
T28210099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Program of the Chinese People's Political Consultative Conference |
E711136
|
entity |
| Predicate | recognizedSector |
P71028
|
FINISHED |
| Object | state-owned economy |
—
|
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: state-owned economy | Statement: [Common Program of the Chinese People's Political Consultative Conference, recognizedSector, state-owned economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedSector Context triple: [Common Program of the Chinese People's Political Consultative Conference, recognizedSector, state-owned economy]
-
A.
sectorRecognized
chosen
Indicates that an entity has been formally acknowledged or classified within a particular sector or industry.
-
B.
recognizedSee
Indicates that one entity sees another and consciously recognizes or identifies what is being seen.
-
C.
coveredSector
Indicates that one entity provides coverage, service, or operational responsibility for a particular sector or area.
-
D.
recognizedFor
Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
-
E.
isSectorSpecific
Indicates that something is tailored or restricted to a particular industry or sector rather than being generally applicable.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 10:38 p.m.