Triple
T19467836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanabhuk |
E487045
|
entity |
| Predicate | sameAs |
P6530
|
FINISHED |
| Object | Uluka |
—
|
NE NERFINISHED |
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: Uluka | Statement: [Kanabhuk, sameAs, Uluka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uluka Context triple: [Kanabhuk, sameAs, Uluka]
-
A.
Uluka
chosen
Uluka is an alternative name for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
-
B.
Iluka
Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
-
C.
Wiluna
Wiluna is a remote outback town in Western Australia known historically as a gold mining center and as a gateway to desert tracks such as the Canning Stock Route.
-
D.
Maleka
Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
-
E.
Urakhi
Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e2aee081908330a5665fa60482 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.