Triple
T8052088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Muir Award |
E187697
|
entity |
| Predicate | supportsCurriculumArea |
P76018
|
FINISHED |
| Object | outdoor education |
—
|
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: outdoor education | Statement: [John Muir Award, supportsCurriculumArea, outdoor education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCurriculumArea Context triple: [John Muir Award, supportsCurriculumArea, outdoor education]
-
A.
hasCurriculumArea
chosen
Indicates that an educational program, course, or learning activity is associated with a specific curriculum area or subject domain.
-
B.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
C.
attainmentAreaDefinedBy
Indicates that the scope or domain in which an attainment applies is specified or delimited by a particular area or context.
-
D.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
-
E.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7aab6481909d4a7cb9eabcd2af |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:24 p.m.