Triple
T2400679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bendre |
E47758
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Kannadiga |
E8600
|
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: Kannadiga | Statement: [Bendre, ethnicGroup, Kannadiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kannadiga Context triple: [Bendre, ethnicGroup, Kannadiga]
-
A.
Andhratharhi
Andhratharhi is a town located in the Madhubani district of the Indian state of Bihar.
-
B.
Kannada
chosen
Kannada is a major Dravidian language predominantly spoken in the Indian state of Karnataka and surrounding regions, with a rich literary tradition spanning over a millennium.
-
C.
Kolami
Kolami is a Dravidian language spoken primarily by the Kolam tribal communities in central India, especially in parts of Maharashtra and Telangana.
-
D.
Kurukh
Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
-
E.
Tulu
Tulu is a Dravidian language spoken primarily in the coastal regions of Karnataka and northern Kerala in southwestern India, known for its rich oral traditions and distinct cultural identity.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8caf12c8190b1482b9bc7bf9606 |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af177b898c8190bee910be75e93f6c |
completed | March 9, 2026, 6:54 p.m. |
Created at: March 4, 2026, 7:57 p.m.