Triple
T31757892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Secondary College Balmain Campus |
E810600
|
entity |
| Predicate | roleWithinCollege |
P172905
|
FINISHED |
| Object | Years 7–10 campus |
—
|
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: Years 7–10 campus | Statement: [Sydney Secondary College Balmain Campus, roleWithinCollege, Years 7–10 campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithinCollege Context triple: [Sydney Secondary College Balmain Campus, roleWithinCollege, Years 7–10 campus]
-
A.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
B.
partOfCollegeGroup
Indicates that an entity belongs to or is a member of a specific group within a college.
-
C.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
D.
collegePosition
Indicates the role, title, or position an individual holds within a college or university.
-
E.
roleInInstitutions
Indicates that an entity holds or has held a specific role, position, or function within one or more institutions.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 30, 2026, 11:30 p.m.