Triple

T11188987
Position Surface form Disambiguated ID Type / Status
Subject Kalasha language E264747 entity
Predicate ethnicGroup P194 FINISHED
Object Kalash E722614 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: Kalash | Statement: [Kalasha language, ethnicGroup, Kalash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalash
Context triple: [Kalasha language, ethnicGroup, Kalash]
  • A. Kalasha chosen
    Kalasha is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of northern Pakistan.
  • B. Kalash Valleys
    The Kalash Valleys are a remote mountainous region in northern Pakistan known for their indigenous Kalash people, distinctive polytheistic culture, wooden architecture, and vibrant seasonal festivals.
  • C. Nuristani Kalasha
    Nuristani Kalasha is an Indo-Iranian language of the Nuristani branch spoken in parts of eastern Afghanistan.
  • D. Gilgiti Shina
    Gilgiti Shina is a regional variety of the Shina language spoken primarily in and around Gilgit in northern Pakistan.
  • E. Kaladagi
    Kaladagi is a town in the Bagalkot district of Karnataka, India, known historically as part of the Bombay Presidency during the British colonial period.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ad143481908d5dacc95837ecfd completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496f195108190a7bc9c8089ffc364 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.