Triple
T31757891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Secondary College Balmain Campus |
E810600
|
entity |
| Predicate | multiCampusStructure |
P72522
|
FINISHED |
| Object | junior 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: junior campus | Statement: [Sydney Secondary College Balmain Campus, multiCampusStructure, junior campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multiCampusStructure Context triple: [Sydney Secondary College Balmain Campus, multiCampusStructure, junior campus]
-
A.
campusStructure
chosen
Indicates a structural or organizational relationship between parts of a campus and the campus as a whole (e.g., buildings, facilities, or areas belonging to or forming the campus).
-
B.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
C.
campusSystem
Indicates a relationship where an educational institution is part of, managed by, or operates within a particular campus system or network.
-
D.
cityCampusServes
Indicates that a city campus provides services, resources, or support to a particular population, area, or institution.
-
E.
campusShape
Indicates the geometric form or outline that characterizes the layout of a campus.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab7dd5dc8190acabc667a08e6abf |
completed | May 3, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:30 p.m.