Triple
T16964520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannada people |
E411508
|
entity |
| Predicate | traditionalFestival |
P7822
|
FINISHED |
| Object | Kambala |
E1242526
|
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: Kambala | Statement: [Kannada people, traditionalFestival, Kambala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kambala Context triple: [Kannada people, traditionalFestival, Kambala]
-
A.
Kambala
chosen
Kambala is a traditional buffalo racing sport and cultural festival celebrated in the coastal regions of Karnataka, India, particularly among Tulu-speaking communities.
-
B.
Kambalda
Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
-
C.
Chambeali
Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
-
D.
Kambaata
Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
-
E.
Ngambela
Ngambela is the traditional prime minister of the Barotse Kingdom in western Zambia, serving as the chief advisor and administrative head under the Litunga (king).
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc09386c819088bdb2548f3fb5c8 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.