Triple
T30590781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerala Lalithakala Akademi |
E778646
|
entity |
| Predicate | typeOfArtPromoted |
P91702
|
FINISHED |
| Object | contemporary 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: contemporary art | Statement: [Kerala Lalithakala Akademi, typeOfArtPromoted, contemporary art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfArtPromoted Context triple: [Kerala Lalithakala Akademi, typeOfArtPromoted, contemporary art]
-
A.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
B.
typeOfWorksListed
Indicates that the kinds or categories of works associated with an entity are specified or enumerated.
-
C.
artCategory
Indicates the classification relationship where an artwork is assigned to a particular artistic category or genre.
-
D.
artSpecialty
chosen
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
E.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
- 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: April 29, 2026, 8:24 p.m.