Triple
T37042301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Phanan Choeng |
E916811
|
entity |
| Predicate | hasBuddhaImageMaterial |
P136410
|
FINISHED |
| Object | brick and stucco |
—
|
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: brick and stucco | Statement: [Wat Phanan Choeng, hasBuddhaImageMaterial, brick and stucco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuddhaImageMaterial Context triple: [Wat Phanan Choeng, hasBuddhaImageMaterial, brick and stucco]
-
A.
hasSacredImage
Indicates that one entity possesses or is associated with an image regarded as sacred or religiously significant.
-
B.
hasMainShrineMaterial
Indicates the primary material from which a shrine is constructed or predominantly made.
-
C.
hasSculptureMaterial
chosen
Indicates that a sculpture is made from, or incorporates, a specified material.
-
D.
hasBodhisattva
Indicates that one entity includes, is associated with, or is characterized by the presence or guidance of a bodhisattva.
-
E.
hasRitualObjectMaterial
Indicates that a ritual object is made from, composed of, or primarily constructed using a specified material.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:14 p.m.