Triple
T38333754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Pa Lelai Worawihan |
E1037893
|
entity |
| Predicate | BuddhaImagePosture |
P141233
|
FINISHED |
| Object | seated posture |
—
|
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: seated posture | Statement: [Wat Pa Lelai Worawihan, BuddhaImagePosture, seated posture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BuddhaImagePosture Context triple: [Wat Pa Lelai Worawihan, BuddhaImagePosture, seated posture]
-
A.
recliningBuddhaPosition
Indicates that an entity is positioned in the characteristic lying-down posture associated with a reclining Buddha.
-
B.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
-
C.
viewOnBuddhism
Indicates the stance, opinion, or perspective that an entity holds regarding Buddhism.
-
D.
hasDeityPosture
chosen
Indicates the specific physical stance or pose attributed to a deity in a given context.
-
E.
associatedBuddha
Indicates a relationship where something is linked or connected to a particular Buddha, such as being attributed to, dedicated to, or representing that Buddha.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.