Triple
T13858237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timbertop campus |
E333118
|
entity |
| Predicate | hasNotableAlumniContext |
P82963
|
FINISHED |
| Object | attended by children of prominent Australians |
—
|
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: attended by children of prominent Australians | Statement: [Timbertop campus, hasNotableAlumniContext, attended by children of prominent Australians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAlumniContext Context triple: [Timbertop campus, hasNotableAlumniContext, attended by children of prominent Australians]
-
A.
hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
-
B.
hasNotableAlumniInstitution
chosen
Indicates that an institution is associated with one or more notable alumni who previously attended or graduated from it.
-
C.
hasNotableFacultyAlumnus
Indicates that an individual is a distinguished former student who is recognized as notable faculty at a given institution.
-
D.
notableAlumniAchievement
Indicates that an alumnus is recognized for a significant achievement or distinction associated with their post-graduation activities.
-
E.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.