Triple

T10179277
Position Surface form Disambiguated ID Type / Status
Subject Kamkata-vari E235941 entity
Predicate hasDialect P4251 FINISHED
Object Kamviri E803546 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: Kamviri | Statement: [Kamkata-vari, hasDialect, Kamviri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamviri
Context triple: [Kamkata-vari, hasDialect, Kamviri]
  • A. Kamviri chosen
    Kamviri is a dialect of the Nuristani Kati language spoken by the Kam people in parts of northeastern Afghanistan and northwestern Pakistan.
  • B. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • C. Kambachen
    Kambachen is a small high-altitude village in eastern Nepal’s Kanchenjunga region, serving as a popular stopover for trekkers heading toward the mountain’s northern base camp.
  • D. Cheremule
    Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
  • E. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd7ed608190bfdec8b61cc99205 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301373a008190b8d39a8db4167e4f completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.