Triple
T26901776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sipailou Campus |
E678049
|
entity |
| Predicate | isHistoricMainCampusOf |
P161984
|
FINISHED |
| Object | Southeast University |
—
|
NE NERFINISHED |
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: Southeast University | Statement: [Sipailou Campus, isHistoricMainCampusOf, Southeast University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHistoricMainCampusOf Context triple: [Sipailou Campus, isHistoricMainCampusOf, Southeast University]
-
A.
isHistoricCampus
Indicates that a campus has historical significance or heritage status, often due to its age, architecture, or role in past events.
-
B.
hasMainCampus
Indicates that an educational institution is primarily based at or chiefly associated with a particular campus location.
-
C.
hasFlagshipCampusOf
Indicates that one location serves as the primary or main campus for a particular institution or organization.
-
D.
hasHistoricUniversity
Indicates that an entity is associated with or contains a university of historical significance.
-
E.
hasMainCampusRelationship
Indicates that one entity serves as the primary or central campus location associated with another entity.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f62081136c81909de8090b1d6c1ac5 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fd5442081908ca677a9c81dcb3f |
completed | May 2, 2026, 4:01 p.m. |
Created at: April 27, 2026, 5:51 a.m.