Triple
T7490550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanna Kingdom |
E176993
|
entity |
| Predicate | religiousArt |
P42587
|
FINISHED |
| Object | Lanna Buddhist art |
—
|
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: Lanna Buddhist art | Statement: [Lanna Kingdom, religiousArt, Lanna Buddhist art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousArt Context triple: [Lanna Kingdom, religiousArt, Lanna Buddhist art]
-
A.
devotionalObject
Indicates that one entity is used by or associated with another as an object of religious or spiritual devotion.
-
B.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
C.
iconographicCategory
Indicates the classification of an entity based on the type or theme of its visual or symbolic representation.
-
D.
religionRelatedWork
chosen
Indicates that a work (such as a text, artwork, or project) is related to, concerned with, or produced in the context of a particular religion or religious tradition.
-
E.
iconographicSubject
Indicates that one entity serves as the depicted subject or theme represented in the iconography 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:43 p.m.