Triple

T2042516
Position Surface form Disambiguated ID Type / Status
Subject Eastern Iranian languages E44775 entity
Predicate hasLivingLanguage P20092 FINISHED
Object Parachi E228140 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: Parachi | Statement: [Eastern Iranian languages, hasLivingLanguage, Parachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parachi
Context triple: [Eastern Iranian languages, hasLivingLanguage, Parachi]
  • A. Parachi chosen
    Parachi is a lesser-known Eastern Iranian language spoken by a small community in parts of Afghanistan.
  • B. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • C. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • D. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • E. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbdbfe6188190a32ab023660312bd completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271399a08190946b315f439b9b2f completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:39 p.m.