Triple

T19467912
Position Surface form Disambiguated ID Type / Status
Subject Uluka E487046 entity
Predicate hasDialects P4251 FINISHED
Object Kundagannada 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: Kundagannada | Statement: [Uluka, hasDialects, Kundagannada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kundagannada
Context triple: [Uluka, hasDialects, Kundagannada]
  • A. Kundagannada chosen
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • B. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • C. Kandava
    Kandava is a small historic town in western Latvia known for its scenic location in the Kurzeme region and well-preserved old town architecture.
  • D. Kanhangad
    Kanhangad is a coastal town in the Indian state of Kerala known for its temples, beaches, and proximity to the Bekal Fort area.
  • E. Gangathura
    Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
  • 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_69e633e4b230819097c8804ee91988ea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.