Triple
T7947114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 双一流 |
E184523
|
entity |
| Predicate | 政策目标年份 |
P26643
|
FINISHED |
| Object | 到本世纪中叶建成高等教育强国 |
—
|
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: 到本世纪中叶建成高等教育强国 | Statement: [双一流, 政策目标年份, 到本世纪中叶建成高等教育强国]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 政策目标年份 Context triple: [双一流, 政策目标年份, 到本世纪中叶建成高等教育强国]
-
A.
planningYear
Indicates the year in which planning or preparation activities for something are scheduled or designated to occur.
-
B.
missionYear
Indicates the specific calendar year in which a mission takes place, is launched, or is officially designated.
-
C.
hasGoalYear
chosen
Indicates that an entity is associated with a specific target year by which a goal or objective is intended to be achieved.
-
D.
plannedTarget
Indicates that one entity has been designated or selected as the intended target or objective of another entity’s planned action or operation.
-
E.
effectiveYear
Indicates the calendar year in which something (such as a rule, status, or agreement) becomes valid or takes effect.
- 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.