Triple
T35902675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Si Chum |
E1038393
|
entity |
| Predicate | buddhaImageName |
P153872
|
FINISHED |
| Object | Phra Achana |
—
|
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 Achana | Statement: [Wat Si Chum, buddhaImageName, Phra Achana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buddhaImageName Context triple: [Wat Si Chum, buddhaImageName, Phra Achana]
-
A.
pilgrimageName
Indicates the specific name or title assigned to a particular pilgrimage.
-
B.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
-
C.
nameImage
chosen
Indicates that an image is assigned or associated with a specific name or label.
-
D.
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.
-
E.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa6b70948190a9f0b5f76c095d4e |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.