Triple
T2838600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathak |
E62409
|
entity |
| Predicate | LucknowGharanaSpecialty |
P526
|
FINISHED |
| Object | graceful expression and abhinaya |
—
|
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: graceful expression and abhinaya | Statement: [Kathak, LucknowGharanaSpecialty, graceful expression and abhinaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LucknowGharanaSpecialty Context triple: [Kathak, LucknowGharanaSpecialty, graceful expression and abhinaya]
-
A.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
B.
rankByLengthInIndia
Indicates an ordering of items based on their length specifically within the context or boundaries of India.
-
C.
wasMughalProvincialCapitalOf
Indicates that a place served as a provincial capital within the administrative structure of the Mughal Empire for a given province or region.
-
D.
musicTradition
chosen
Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
-
E.
hasGhat
Indicates that a place or location possesses or is associated with a ghat (a series of steps or landing area leading to a body of water).
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdef015bc81909f6a2ff17b22862f |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.