Triple
T10110269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Front system of the Chinese Communist Party |
E218220
|
entity |
| Predicate | post1978Role |
P92239
|
FINISHED |
| Object | engagement with private sector and intellectuals |
—
|
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: engagement with private sector and intellectuals | Statement: [United Front system of the Chinese Communist Party, post1978Role, engagement with private sector and intellectuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: post1978Role Context triple: [United Front system of the Chinese Communist Party, post1978Role, engagement with private sector and intellectuals]
-
A.
statusAfter1979
Indicates the status or condition of an entity specifically in the period following the year 1979.
-
B.
roleAfter2001
Indicates that an entity holds or assumes a particular role or position at some point after the year 2001.
-
C.
after1949
Indicates that one event, state, or fact occurs or becomes true after the year 1949.
-
D.
roleIn1950
Indicates that an entity held a particular role, position, or function in the year 1950.
-
E.
statusAfter1956
Indicates the status or condition of an entity as it existed at any time after the year 1956.
- F. None of above. chosen
Provenance (4 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd0cdb3c88190a74f75bf865664f3 |
completed | April 2, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9ed7e48190aa132ef8a69b49f9 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:03 p.m.