Triple

T2343728
Position Surface form Disambiguated ID Type / Status
Subject Ashkun language E45083 entity
Predicate languageFamily P1047 FINISHED
Object Nuristani languages E6959 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: Nuristani languages | Statement: [Ashkun language, languageFamily, Nuristani languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuristani languages
Context triple: [Ashkun language, languageFamily, Nuristani languages]
  • A. Nuristani languages chosen
    Nuristani languages are a small, distinct group of Indo-Iranian languages spoken primarily in the remote Nuristan region of eastern Afghanistan.
  • B. Pamir languages
    The Pamir languages are a group of Eastern Iranian languages spoken primarily in the mountainous Pamir region of Tajikistan, Afghanistan, and surrounding areas.
  • C. Pashayi languages
    The Pashayi languages are a small group of closely related Indo-Aryan languages spoken primarily by ethnic Pashayi communities in eastern Afghanistan.
  • D. Nyima languages
    The Nyima languages are a small group of closely related, lesser-known languages spoken by the Nyimang (Ama) people in the Nuba Mountains of Sudan.
  • E. Khowar
    Khowar is an Indo-Aryan language primarily spoken in the Chitral region of Pakistan and parts of neighboring areas, known for its rich oral tradition and distinct phonology.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ae33e881909a81a0c0def59059 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96253f0c81908b866c656c3f5bea completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:52 p.m.