Triple
T7947149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 985工程 |
E184524
|
entity |
| Predicate | 长期影响 |
P56262
|
FINISHED |
| Object | 形成“985高校”社会称谓 |
—
|
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: 形成“985高校”社会称谓 | Statement: [985工程, 长期影响, 形成“985高校”社会称谓]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 长期影响 Context triple: [985工程, 长期影响, 形成“985高校”社会称谓]
-
A.
timeHorizonOfImpact
chosen
Indicates the span of time over which an action, event, or factor is expected to produce its effects or consequences.
-
B.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
-
C.
indirectImpactOn
Indicates that one entity affects another entity’s state, condition, or outcome through one or more intermediate factors rather than through a direct interaction.
-
D.
impactOutcome
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
-
E.
majorImpact
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
- 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.