Triple
T13858209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timbertop campus |
E333118
|
entity |
| Predicate | primaryYearLevel |
P111834
|
FINISHED |
| Object | Year 9 |
—
|
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: Year 9 | Statement: [Timbertop campus, primaryYearLevel, Year 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryYearLevel Context triple: [Timbertop campus, primaryYearLevel, Year 9]
-
A.
primarySchool
Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
-
B.
primaryStudents
Indicates that the related entities are students enrolled at the primary or elementary education level.
-
C.
primary
Indicates that the referenced entity is the main or most important one among a set of related entities.
-
D.
primaryStudentType
Indicates the main or most characteristic type or category of student associated with an entity.
-
E.
primaryEducationSystem
Indicates that one entity is the main or foundational educational framework or structure used to provide primary-level schooling for another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:14 p.m.