Triple
T12088817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Physics of Astrophysics, Volume II: Gas Dynamics |
E287881
|
entity |
| Predicate | pedagogicalFeature |
P40345
|
FINISHED |
| Object | problems for students |
—
|
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: problems for students | Statement: [Physics of Astrophysics, Volume II: Gas Dynamics, pedagogicalFeature, problems for students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pedagogicalFeature Context triple: [Physics of Astrophysics, Volume II: Gas Dynamics, pedagogicalFeature, problems for students]
-
A.
hasEducationalFeature
chosen
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
B.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
C.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
D.
didacticPurpose
Indicates that something is intended to teach, instruct, or convey educational content or guidance.
-
E.
educationSystemCharacteristic
Indicates a characteristic, feature, or attribute that describes an education system.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.