Triple
T31084243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American smooth |
E792183
|
entity |
| Predicate | usesTechniqueFrom |
P3047
|
FINISHED |
| Object | ballroom dancing |
—
|
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: ballroom dancing | Statement: [American smooth, usesTechniqueFrom, ballroom dancing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTechniqueFrom Context triple: [American smooth, usesTechniqueFrom, ballroom dancing]
-
A.
usedByTechnique
Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
-
B.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
C.
allowedTechnique
Indicates that a particular technique or method is permitted or acceptable to use in a given context or under specified rules.
-
D.
techniqueRequired
Indicates that performing one entity (such as an action, process, or task) necessitates the use of a specific technique associated with the other entity.
-
E.
materialTechnique
Indicates the materials used and the techniques or methods applied in creating or producing something.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 29, 2026, 9:02 p.m.