Triple
T18411524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 南方科技大学 |
E441768
|
entity |
| Predicate | 是否具有硕士学位授予权 |
P131512
|
FINISHED |
| Object | 是 |
—
|
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: 是 | Statement: [南方科技大学, 是否具有硕士学位授予权, 是]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 是否具有硕士学位授予权 Context triple: [南方科技大学, 是否具有硕士学位授予权, 是]
-
A.
hasGraduateInstitute
Indicates that an entity is associated with or offers a specific graduate-level educational institution or program.
-
B.
hasGraduateDivision
Indicates that an institution or academic unit possesses an official graduate-level division or administrative body responsible for graduate programs.
-
C.
hasDoctoralProgram
Indicates that an institution or academic unit offers and administers a doctoral-level degree program.
-
D.
hasDoctoralPrograms
Indicates that an institution offers one or more doctoral-level academic degree programs.
-
E.
includesHigherDegrees
Indicates that one entity’s set of academic degrees contains at least one degree that is at a higher level than those in another entity’s set.
- F. None of above. chosen
Provenance (4 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a24e130819082b92f98d8d5fa3c |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 10:47 a.m.