Triple
T25230300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttara Kannada |
E632201
|
entity |
| Predicate | hasPerformingArtCenter |
P138475
|
FINISHED |
| Object | Yakshagana melas |
—
|
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: Yakshagana melas | Statement: [Uttara Kannada, hasPerformingArtCenter, Yakshagana melas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformingArtCenter Context triple: [Uttara Kannada, hasPerformingArtCenter, Yakshagana melas]
-
A.
hasArtCenter
Indicates that an entity possesses, hosts, or includes an art center as one of its facilities or components.
-
B.
hasPerformingArtsGroup
chosen
Indicates that an entity is associated with or hosts a performing arts group, such as a theater troupe, dance company, or musical ensemble.
-
C.
hasArtCentreType
Indicates that an entity is classified as, or associated with, a specific type or category of art centre.
-
D.
hasArtFacilities
Indicates that an entity provides or is equipped with facilities or resources dedicated to art-related activities.
-
E.
isCulturalCenterFor
Indicates that one entity serves as a primary hub or focal point for the cultural activities, heritage, or identity 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 1:04 p.m.