Triple
T34681229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese nuclear industry |
E890627
|
entity |
| Predicate | civilianFocus |
P23908
|
FINISHED |
| Object | electricity generation |
—
|
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: electricity generation | Statement: [Chinese nuclear industry, civilianFocus, electricity generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilianFocus Context triple: [Chinese nuclear industry, civilianFocus, electricity generation]
-
A.
civilian
Indicates that an entity is a non-military person or object associated with civilian status or context.
-
B.
civilianResponse
Indicates how civilians react or respond to a particular event, action, or situation.
-
C.
civilianHead
Indicates that one entity serves as the top civilian leader or chief official in charge of another entity (such as an organization, institution, or jurisdiction).
-
D.
civilianImpact
Indicates the extent to which an action, event, or situation affects civilians, especially in terms of harm, disruption, or other consequences.
-
E.
civilianUse
chosen
Indicates that something is intended for, suitable for, or actually used by civilians rather than military or combat purposes.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f723282ac48190855661f3023221db |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.