Triple
T10443871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S. L. Bhyrappa |
E246234
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Santeshivara |
E249111
|
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: Santeshivara | Statement: [S. L. Bhyrappa, birthPlace, Santeshivara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santeshivara Context triple: [S. L. Bhyrappa, birthPlace, Santeshivara]
-
A.
Santeshivara
chosen
Santeshivara is the given first name of the renowned Indian novelist and philosopher S. L. Bhyrappa.
-
B.
Skandagiri
Skandagiri is a sacred hill associated with the Hindu god Kartikeya, revered as one of his principal holy sites and pilgrimage destinations.
-
C.
Suvarchala
Suvarchala is a character from Hindu mythology known primarily as the wife of Babruvahana, the son of the warrior Arjuna.
-
D.
Sangameshwar
Sangameshwar is a town in Maharashtra, India, historically notable as the site where Maratha ruler Sambhaji was captured by Mughal forces.
-
E.
Suvarnamukhi
Suvarnamukhi is a river in southern India that serves as a tributary of the Arkavathi River, contributing to the regional drainage and water system.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbe5dc48190b4291bfd0fb988eb |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ee0c2208190ae8d51a2a89a2586 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:15 p.m.