Triple
T7947103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 双一流 |
E184523
|
entity |
| Predicate | 实施原则 |
P47536
|
FINISHED |
| Object | 统筹布局 |
—
|
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: 统筹布局 | Statement: [双一流, 实施原则, 统筹布局]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 实施原则 Context triple: [双一流, 实施原则, 统筹布局]
-
A.
implementsPrinciple
chosen
Indicates that an entity applies, follows, or puts into practice a specified principle in its design, behavior, or operation.
-
B.
usesPrinciple
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
-
C.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
D.
establishesPrinciple
Indicates that an entity formulates, defines, or sets forth a foundational rule, guideline, or standard that others are expected to follow or build upon.
-
E.
invokesPrinciple
Indicates that one entity calls upon, applies, or relies on a particular principle as the basis for an action, decision, or reasoning process.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2abdbc819085ae53826d36af3b |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae9361bc48190886b7681e563d46b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:09 p.m.