Triple
T27129670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Joseph’s College, Hunters Hill |
E681529
|
entity |
| Predicate | hasBoardingProgram |
P2489
|
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: [St Joseph’s College, Hunters Hill, hasBoardingProgram, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoardingProgram Context triple: [St Joseph’s College, Hunters Hill, hasBoardingProgram, true]
-
A.
hasBoardingSchool
Indicates that an entity operates, contains, or is associated with a boarding school where students both study and reside.
-
B.
hasEducationalProgram
chosen
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
C.
hasCadetProgram
Indicates that an organization or entity offers or operates a cadet program for training or development.
-
D.
hasBoardingStudents
Indicates that an educational institution accommodates students who reside on campus as boarders.
-
E.
hasBoardingType
Indicates the specific manner or method by which an entity is boarded or accessed (e.g., how passengers or items are taken on).
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 9:03 a.m.