Triple

T10039076
Position Surface form Disambiguated ID Type / Status
Subject Dimlî E205248 entity
Predicate hasAlternativeName P39 FINISHED
Object Northern Zazaki E41080 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: Northern Zazaki | Statement: [Dimlî, hasAlternativeName, Northern Zazaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Zazaki
Context triple: [Dimlî, hasAlternativeName, Northern Zazaki]
  • A. 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.
  • B. Zazaki chosen
    Zazaki is an Indo-Iranian language spoken primarily in eastern Turkey, often associated with the Zaza people and considered one of the main Kurdish-related dialects or languages.
  • C. Gilaki
    Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
  • D. 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.
  • E. Bakhtiari Luri
    Bakhtiari Luri is a major Southwestern Iranian dialect spoken primarily by the Bakhtiari people of western and southwestern Iran.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee04afc8190904704d66e23a432 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28268ab648190a565472d00b289c2 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.