Triple
T37042303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Phanan Choeng |
E916811
|
entity |
| Predicate | hasBuddhaImageName |
P171437
|
FINISHED |
| Object | Phra Chao Phanan Choeng |
—
|
NE NERFINISHED |
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: Phra Chao Phanan Choeng | Statement: [Wat Phanan Choeng, hasBuddhaImageName, Phra Chao Phanan Choeng]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuddhaImageName Context triple: [Wat Phanan Choeng, hasBuddhaImageName, Phra Chao Phanan Choeng]
-
A.
hasSacredImage
chosen
Indicates that one entity possesses or is associated with an image regarded as sacred or religiously significant.
-
B.
hasBodhisattva
Indicates that one entity includes, is associated with, or is characterized by the presence or guidance of a bodhisattva.
-
C.
containsImage
Indicates that one entity includes or embeds an image as part of its content or structure.
-
D.
hasImageFeature
Indicates that an entity is associated with a specific visual characteristic or attribute extracted from an image.
-
E.
hasFlagImage
Indicates that an entity is associated with a specific image that visually represents its flag.
- 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_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 3, 2026, 4:14 p.m.