Triple

T14933971
Position Surface form Disambiguated ID Type / Status
Subject Ishkashimi E372341 entity
Predicate subfamily P4180 FINISHED
Object Pamir languages E123647 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: Pamir languages | Statement: [Ishkashimi, subfamily, Pamir languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamir languages
Context triple: [Ishkashimi, subfamily, Pamir languages]
  • A. Pamir languages chosen
    The Pamir languages are a group of Eastern Iranian languages spoken primarily in the mountainous Pamir region of Tajikistan, Afghanistan, and surrounding areas.
  • B. Pashayi languages
    The Pashayi languages are a small group of closely related Indo-Aryan languages spoken primarily by ethnic Pashayi communities in eastern Afghanistan.
  • C. Shastan languages
    Shastan languages are a small family of closely related Native American languages historically spoken in northern California and southern Oregon.
  • D. Caspian languages
    Caspian languages are a group of closely related Northwestern Iranian languages spoken mainly along the southern coast of the Caspian Sea in northern Iran.
  • E. Nuristani languages
    Nuristani languages are a small, distinct group of Indo-Iranian languages spoken primarily in the remote Nuristan region of eastern Afghanistan.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.