Triple
T1896402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conversations on Common Things |
E41991
|
entity |
| Predicate | pedagogicalGoal |
P27488
|
FINISHED |
| Object | to teach everyday science |
—
|
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: to teach everyday science | Statement: [Conversations on Common Things, pedagogicalGoal, to teach everyday science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pedagogicalGoal Context triple: [Conversations on Common Things, pedagogicalGoal, to teach everyday science]
-
A.
educationalObjective
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
-
B.
didacticPurpose
chosen
Indicates that something is intended to teach, instruct, or convey educational content or guidance.
-
C.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
D.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
E.
hasEducationalMission
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb16d6674819084a891e3bf23bd83 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.