Triple
T6968629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakshagana |
E161548
|
entity |
| Predicate | TenkutittuRegion |
P64798
|
FINISHED |
| Object | Dakshina Kannada and Kasaragod |
—
|
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: Dakshina Kannada and Kasaragod | Statement: [Yakshagana, TenkutittuRegion, Dakshina Kannada and Kasaragod]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TenkutittuRegion Context triple: [Yakshagana, TenkutittuRegion, Dakshina Kannada and Kasaragod]
-
A.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
B.
subregionOf
Indicates that one region is geographically or administratively contained within, and is a part of, another larger region.
-
C.
northernTerminusRegion
Indicates that a location or route has its northern endpoint or final stopping point within a specified region.
-
D.
northTerminusRegion
Indicates that a specified region serves as the northern endpoint or terminus of a linear feature, route, or entity.
-
E.
placeRegion
chosen
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db152b2081909271493a5d1469fb |
completed | March 27, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.