Triple
T5735593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shag |
E126493
|
entity |
| Predicate | learningContext |
P55744
|
FINISHED |
| Object | dance studios |
—
|
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: dance studios | Statement: [The Shag, learningContext, dance studios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learningContext Context triple: [The Shag, learningContext, dance studios]
-
A.
learn
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
-
B.
educationalContext
chosen
Indicates the situational or institutional setting in which an educational activity, interaction, or resource takes place.
-
C.
trainingParadigm
Indicates the specific methodological framework or approach used to train an entity (such as a model, system, or agent).
-
D.
trainingUse
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
-
E.
trainingDomain
Indicates that an entity is associated with or operates within a particular field, area, or domain of training.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025596b5c81909b5626773c91cecb |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.