Triple
T7660713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kui |
E173496
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kandh language |
E485561
|
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: Kandh language | Statement: [Kui, hasAlternativeName, Kandh language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandh language Context triple: [Kui, hasAlternativeName, Kandh language]
-
A.
Kandh language
chosen
The Kandh language, also known as Kui, is a Dravidian language spoken primarily by the Kandha (Khond) tribal communities in the Indian state of Odisha.
-
B.
Kandas language
Kandas is an Oceanic language of the Western Bismarck subgroup, spoken in the Bismarck Archipelago of Papua New Guinea.
-
C.
Kande language
The Kande language is a Bantu language variety within the Tswa–Ronga group, spoken by communities in southern Africa.
-
D.
Kendem language
The Kendem language is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
-
E.
Kodagu language
Kodagu language is a Dravidian language spoken primarily by the Kodava (Coorg) people in the Kodagu district of Karnataka, India.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a47a5c8190867e39f552c86787 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b14b6848190892a262903d78b79 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 3:59 p.m.