Triple
T30985305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuchuan Road Campus |
E789507
|
entity |
| Predicate | isCampusOfSpecialization |
P36070
|
FINISHED |
| Object | finance and economics education |
—
|
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: finance and economics education | Statement: [Wuchuan Road Campus, isCampusOfSpecialization, finance and economics education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCampusOfSpecialization Context triple: [Wuchuan Road Campus, isCampusOfSpecialization, finance and economics education]
-
A.
isSpecializedCampus
chosen
Indicates that a campus is dedicated to a specific field, discipline, or set of specialized programs rather than offering a broad, general curriculum.
-
B.
isCampusFor
Indicates that a location serves as the campus associated with a particular institution or organization.
-
C.
isCampusOfProject
Indicates that a particular campus serves as the location or host site for a given project.
-
D.
isRegionalCampus
Indicates that one educational institution functions as a regional campus or satellite location of another, typically larger, institution.
-
E.
isCampusOfPrivateUniversity
Indicates that a location or site functions as the campus belonging to a privately operated university.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:56 p.m.