Triple
T26684525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yin Yoga |
E672706
|
entity |
| Predicate | typicalPoseHoldDuration |
P198304
|
FINISHED |
| Object | 1 to 5 minutes |
—
|
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: 1 to 5 minutes | Statement: [Yin Yoga, typicalPoseHoldDuration, 1 to 5 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPoseHoldDuration Context triple: [Yin Yoga, typicalPoseHoldDuration, 1 to 5 minutes]
-
A.
danceHold
Indicates that one entity is physically holding or supporting another in the context of a dance or dancing activity.
-
B.
mascotPose
Indicates the characteristic stance or posture typically adopted by a mascot, especially when performing or being depicted.
-
C.
showsPose
Indicates that one entity displays or presents a particular pose or bodily posture of another entity.
-
D.
canAlsoHoldPosition
Indicates that an entity, in addition to its current role or position, is capable of occupying or being assigned another specified position.
-
E.
recordHeldDuration
Indicates the length of time for which a particular record, title, or achievement was continuously held.
- F. None of above. chosen
Provenance (4 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
| PDg | Predicate description generation | batch_69fedd5915588190bd884054e4be0414 |
completed | May 9, 2026, 7:08 a.m. |
Created at: April 27, 2026, 3:22 a.m.