Triple
T12735848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reclining Buddha (Wat Pho) |
E304359
|
entity |
| Predicate | feetFeature |
P106635
|
FINISHED |
| Object | 108 auspicious symbols of the Buddha |
—
|
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: 108 auspicious symbols of the Buddha | Statement: [Reclining Buddha (Wat Pho), feetFeature, 108 auspicious symbols of the Buddha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feetFeature Context triple: [Reclining Buddha (Wat Pho), feetFeature, 108 auspicious symbols of the Buddha]
-
A.
heightFeet
Indicates a relationship where a subject has its vertical size or stature specified in feet as a unit of measurement.
-
B.
heightApproximateFeet
Indicates that one entity’s height is approximately equal to a specified value measured in feet.
-
C.
depthFeetApprox
Indicates an approximate measurement of an entity’s depth expressed in feet.
-
D.
footType
Indicates the specific kind or classification of feet that an entity possesses or is characterized by.
-
E.
typicalFootprintLength
Indicates the usual or characteristic length of an entity’s footprint in a given context.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.