Triple
T16728749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sōtō Zen |
E406529
|
entity |
| Predicate | meditationPosture |
P42040
|
FINISHED |
| Object | cross-legged sitting |
—
|
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: cross-legged sitting | Statement: [Sōtō Zen, meditationPosture, cross-legged sitting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meditationPosture Context triple: [Sōtō Zen, meditationPosture, cross-legged sitting]
-
A.
meditationType
Indicates the specific kind or category of meditation practice associated with an entity.
-
B.
describesPosture
chosen
Indicates that one entity specifies or characterizes the bodily position or stance (posture) of another entity.
-
C.
devotionalPosture
Indicates a physical or bodily stance adopted as an expression of devotion, reverence, or worship toward someone or something.
-
D.
meditationSubject
Indicates that one entity is the topic, focus, or object upon which another entity meditates.
-
E.
positionInPrayer
Indicates the specific posture or stage a participant occupies within the sequence of actions in a prayer.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38749baa48190892b2e2b978f6eb6 |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.