Triple
T10353759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Alfred College |
E243944
|
entity |
| Predicate | isNonGovernment |
P60229
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Prince Alfred College, isNonGovernment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonGovernment Context triple: [Prince Alfred College, isNonGovernment, true]
-
A.
nonGovernmental
chosen
Indicates that an entity, action, or relationship is not associated with, controlled by, or part of a government or governmental body.
-
B.
isPartOfGovernment
Indicates that an entity belongs to, is included within, or functions as a component of a governmental body or system.
-
C.
isGovernmentRelated
Indicates that an entity has a direct or significant connection to a government, its agencies, functions, or official activities.
-
D.
isNonPoliticalOffice
Indicates that the office or position in question is not associated with political power, political decision-making, or elected political roles.
-
E.
basedInGovernmentType
Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e952c878819084e5d7a593a3f9e9 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:58 a.m.