Triple
T30187240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cégep Héritage College |
E767368
|
entity |
| Predicate | hasInstructionLevel |
P48073
|
FINISHED |
| Object | college-level |
—
|
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: college-level | Statement: [Cégep Héritage College, hasInstructionLevel, college-level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstructionLevel Context triple: [Cégep Héritage College, hasInstructionLevel, college-level]
-
A.
instructionLevel
chosen
Indicates the degree or stage of guidance, teaching, or educational complexity associated with an action or relationship.
-
B.
hasInstructionSet
Indicates that one entity (typically a processor or system) is defined as using or supporting a particular instruction set.
-
C.
hasInstructionCache
Indicates that an entity possesses or is equipped with an instruction cache for storing and accessing executable instructions.
-
D.
hasInstructionModel
Indicates that one entity is associated with, or utilizes, a specific instruction-oriented model to guide its behavior or processing.
-
E.
hasInstructionPrefix
Indicates that one entity provides an initial segment or starting portion that serves as the instruction prefix for another entity.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: April 29, 2026, 7:27 p.m.