Triple
T30636135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 爱国统一战线 |
E779847
|
entity |
| Predicate | 面向群体 |
P108329
|
FINISHED |
| Object | 工人阶级 |
—
|
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: 工人阶级 | Statement: [爱国统一战线, 面向群体, 工人阶级]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 面向群体 Context triple: [爱国统一战线, 面向群体, 工人阶级]
-
A.
suitableForLargeGroups
Indicates that something can comfortably accommodate or is appropriate for use by a relatively high number of people at the same time.
-
B.
socialGroupBenefited
chosen
Indicates that a particular social group gains an advantage, improvement, or positive impact as a result of an action, event, or resource.
-
C.
formedGroup
Indicates that multiple entities have come together to create or establish a group or collective unit.
-
D.
socialGroupInvolved
Indicates that a particular social group participates in, is affected by, or is otherwise involved in the specified event or situation.
-
E.
groupTogether
Indicates that multiple entities are treated or arranged as a single collective unit or set.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a51b8d48190a00ac690761716ce |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:28 p.m.