Triple
T2297597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kundagannada |
E51652
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Udupi region |
E253209
|
NE 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: Udupi region | Statement: [Kundagannada, associatedWith, Udupi region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udupi region Context triple: [Kundagannada, associatedWith, Udupi region]
-
A.
Udupi district
chosen
Udupi district is a coastal district in the Indian state of Karnataka, known for its temple town of Udupi, distinctive cuisine, and rich Tulu-Kannada cultural heritage.
-
B.
Malabar District
Malabar District was a former administrative region in southwestern India under British rule, later incorporated into the state of Kerala.
-
C.
Wayanad
Wayanad is a scenic hill district in Kerala, India, known for its lush forests, wildlife sanctuaries, waterfalls, and spice plantations.
-
D.
Konkan
Konkan is a rugged, coastal region along the western shoreline of India, known for its distinctive culture, cuisine, and scenic Arabian Sea beaches.
-
E.
Dakshina Kannada district
Dakshina Kannada district is a coastal district in the Indian state of Karnataka, known for its diverse languages, educational institutions, and cultural and economic hub Mangaluru.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5df37808190ba6a43dc1e9e723a |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8954a804819092c716582f23af14 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.