Triple

T9488030
Position Surface form Disambiguated ID Type / Status
Subject Kati language E228811 entity
Predicate hasDialect P4251 FINISHED
Object Western Kata-vari E235941 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: Western Kata-vari | Statement: [Kati language, hasDialect, Western Kata-vari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Kata-vari
Context triple: [Kati language, hasDialect, Western Kata-vari]
  • A. Kamkata-vari chosen
    Kamkata-vari is an Indo-Iranian (Nuristani) language spoken primarily in parts of Afghanistan and Pakistan, encompassing several closely related dialects including Kamviri.
  • B. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • C. Kuramin Range
    Kuramin Range is a mountain range in Central Asia forming part of the natural boundary around the Ferghana Valley, spanning areas of present-day Uzbekistan and Tajikistan.
  • D. Miyama
    Miyama is a Japanese municipality known for its traditional rural landscapes and cultural heritage.
  • E. Kori Kaili
    Kori Kaili is a regional dialect of the Kaili language spoken in parts of Central Sulawesi, Indonesia.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139fdaccc8190b5c160aedcfcceca completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:55 p.m.