Triple
T12054792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 南开大学 |
E287010
|
entity |
| Predicate | 现阶段性质 |
P28747
|
FINISHED |
| Object | 公立研究型大学 |
—
|
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: 公立研究型大学 | Statement: [南开大学, 现阶段性质, 公立研究型大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 现阶段性质 Context triple: [南开大学, 现阶段性质, 公立研究型大学]
-
A.
currentStateFormation
Indicates the process or condition by which an entity is in the midst of forming, establishing, or transitioning into its present state.
-
B.
modernStatus
chosen
Indicates the current or contemporary condition, classification, or standing of an entity in the present time.
-
C.
modernState
Indicates that an entity functions as a contemporary, currently existing state or nation in the modern era.
-
D.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
E.
historicalPeriodOfCurrentForm
Indicates the historical period during which the entity’s current form, structure, or configuration came into existence or was established.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.