Triple
T30179171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanghua Campus |
E767150
|
entity |
| Predicate | primaryAcademicFocusOfHostUniversity |
P58460
|
FINISHED |
| Object | finance |
—
|
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 | Statement: [Guanghua Campus, primaryAcademicFocusOfHostUniversity, finance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAcademicFocusOfHostUniversity Context triple: [Guanghua Campus, primaryAcademicFocusOfHostUniversity, finance]
-
A.
regionOfAcademicFocus
Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
-
B.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
C.
focusOfStudy
Indicates that one entity is the primary subject or topic being examined, researched, or analyzed by another entity.
-
D.
primaryRegionOfStudy
Indicates the main geographic or topical region that is the focus of an entity’s academic or research study.
-
E.
housesAcademicDiscipline
chosen
Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01d077dcec8190b05b24b5de313b15 |
completed | May 11, 2026, 12:50 p.m. |
| PD | Predicate disambiguation | batch_6a01cea0e37881909cb6888518c6d12f |
completed | May 11, 2026, 12:42 p.m. |
Created at: April 29, 2026, 7:26 p.m.