Triple
T12054791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 南开大学 |
E287010
|
entity |
| Predicate | 创始阶段性质 |
P63847
|
FINISHED |
| Object | 私立大学 |
—
|
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: 私立大学 | Statement: [南开大学, 创始阶段性质, 私立大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 创始阶段性质 Context triple: [南开大学, 创始阶段性质, 私立大学]
-
A.
hasFounderStageName
Indicates that an entity, acting as a founder, is associated with a specific stage name they use professionally or publicly.
-
B.
investmentStage
Indicates the phase or maturity level a company or project is in with respect to receiving investment or funding.
-
C.
initialStage
chosen
Indicates that one entity represents the first or starting phase in a sequence, process, or development of another entity.
-
D.
starterType
Indicates the classification or category of a starter (e.g., initial component, opening item, or first phase) associated with an entity or process.
-
E.
initiationFeature
Indicates that one entity serves as a feature, mechanism, or condition that initiates, triggers, or starts an action, process, or relationship involving another entity.
- 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.