Triple
T33845814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington campus |
E867475
|
entity |
| Predicate | hasStudentOrganisation |
P1855
|
FINISHED |
| Object | Arc @ UNSW |
—
|
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: Arc @ UNSW | Statement: [Kensington campus, hasStudentOrganisation, Arc @ UNSW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentOrganisation Context triple: [Kensington campus, hasStudentOrganisation, Arc @ UNSW]
-
A.
hasStudentOrganization
chosen
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
-
B.
hasStudentUnionStatus
Indicates that an entity holds a recognized status or designation related to a student union.
-
C.
hasVolunteerOrganisation
Indicates that an entity is associated with or supported by a volunteer-based organisation.
-
D.
hasSchoolOrganization
Indicates that an educational institution is associated with or contains a specific school-related organization or group.
-
E.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: May 1, 2026, 1:47 a.m.