Triple

T21258786
Position Surface form Disambiguated ID Type / Status
Subject Central Mazanderani E523940 entity
Predicate relatedTo P37 FINISHED
Object Gilaki language NE NERFINISHED

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: Gilaki language | Statement: [Central Mazanderani, relatedTo, Gilaki language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilaki language
Context triple: [Central Mazanderani, relatedTo, Gilaki language]
  • A. Gilaki chosen
    Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
  • B. Mazanderani language
    Mazanderani language is a Northwestern Iranian language spoken primarily along Iran’s southern Caspian Sea coast, especially in Mazandaran Province.
  • C. Bakhtiari Luri
    Bakhtiari Luri is a major Southwestern Iranian dialect spoken primarily by the Bakhtiari people of western and southwestern Iran.
  • D. Tabriz dialect
    Tabriz dialect is a prominent regional variety of the Azerbaijani language spoken in and around the city of Tabriz in northwestern Iran, known for its distinctive phonetic and lexical features.
  • E. Northern Luri
    Northern Luri is a major variety of the Luri language spoken by Lur communities in western Iran, distinguished by its own phonological and lexical features.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e477d08190be17ad5384d69a80 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.