Triple
T7290363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TI-73 Explorer |
E164375
|
entity |
| Predicate | targetCurriculumLevel |
P75415
|
FINISHED |
| Object | grades 6-8 |
—
|
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: grades 6-8 | Statement: [TI-73 Explorer, targetCurriculumLevel, grades 6-8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetCurriculumLevel Context triple: [TI-73 Explorer, targetCurriculumLevel, grades 6-8]
-
A.
curriculumControlLevel
Indicates the degree to which an entity has authority or influence over the design, content, or implementation of a curriculum.
-
B.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
C.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
D.
taughtAtLevel
Indicates that an entity provided instruction or teaching at a specified level of education, difficulty, or proficiency.
-
E.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6d4e308190af6b8c237988d7d8 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e82b0f9881909d29c99af1ea0dbf |
completed | March 27, 2026, 8:27 p.m. |
Created at: March 27, 2026, 3 p.m.