Triple
T7984187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 211工程 |
E185647
|
entity |
| Predicate | 政策类型 |
P55606
|
FINISHED |
| Object | 教育发展战略工程 |
—
|
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: 教育发展战略工程 | Statement: [211工程, 政策类型, 教育发展战略工程]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 政策类型 Context triple: [211工程, 政策类型, 教育发展战略工程]
-
A.
相关政策
Indicates that there exists a relevant or associated policy that applies to, governs, or influences the specified entity or situation.
-
B.
economicPolicyType
Indicates the classification of an economic policy according to its general type or category (e.g., fiscal, monetary, trade).
-
C.
实施国家
Indicates the country that carries out, enforces, or implements a given policy, measure, action, or arrangement.
-
D.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
E.
policyCategory
chosen
Indicates the classification or type of policy under which an item, rule, or action is grouped.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2b543c81909b82bc478d579e0b |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.