Triple
T32556848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sid the Science Kid |
E832116
|
entity |
| Predicate | intendedLearningApproach |
P779
|
FINISHED |
| Object | inquiry-based learning |
—
|
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: inquiry-based learning | Statement: [Sid the Science Kid, intendedLearningApproach, inquiry-based learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedLearningApproach Context triple: [Sid the Science Kid, intendedLearningApproach, inquiry-based learning]
-
A.
educationalApproach
chosen
Indicates the method, strategy, or philosophy used to guide teaching and learning within an educational context.
-
B.
includesApproach
Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
-
C.
educationalObjective
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
-
D.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
E.
textSettingApproach
Indicates the method or strategy used to establish, configure, or present text within a particular context or environment.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 1, 2026, 1:03 a.m.