Triple

T10933980
Position Surface form Disambiguated ID Type / Status
Subject Askunu E258279 entity
Predicate neighboringLanguage P16383 FINISHED
Object Pashayi E289721 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: Pashayi | Statement: [Askunu, neighboringLanguage, Pashayi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pashayi
Context triple: [Askunu, neighboringLanguage, Pashayi]
  • A. Pashai chosen
    The Pashai are an indigenous ethnic group of eastern Afghanistan, known for their distinct Indo-Aryan language and traditional mountain-based agrarian lifestyle.
  • B. Alishang Pashayi
    Alishang Pashayi is a regional variety of the Pashayi language spoken by Pashayi communities in the Alishang area of eastern Afghanistan.
  • C. Kordar Pashayi
    Kordar Pashayi is a variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
  • D. Tagau Pashayi
    Tagau Pashayi is a specific variety of the Pashayi languages spoken by Pashayi communities in eastern Afghanistan.
  • E. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ae073881909720febe9f5f296a completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2176328448190bbce6735ec97507a completed April 17, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:23 p.m.