Triple
T34590598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontianak main campus |
E888169
|
entity |
| Predicate | hasAcademicFacultiesOf |
P40186
|
FINISHED |
| Object | Tanjungpura 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: Tanjungpura University | Statement: [Pontianak main campus, hasAcademicFacultiesOf, Tanjungpura University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicFacultiesOf Context triple: [Pontianak main campus, hasAcademicFacultiesOf, Tanjungpura University]
-
A.
hasFacultyIn
Indicates that an institution or organization has faculty members associated with or working in a particular department, field, or academic unit.
-
B.
publicUniversityFacultyOf
Indicates that a person serves as a faculty member at a public (state-funded) university.
-
C.
publicUniversityFaculty
Indicates that a person is a member of the faculty (e.g., professor, lecturer, instructor) at a public university.
-
D.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
E.
hasAcademicFacilities
chosen
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
- 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 2:03 a.m.