Triple

T10480899
Position Surface form Disambiguated ID Type / Status
Subject Tyari dialect E247164 entity
Predicate alternativeName P39 FINISHED
Object Tyare dialect E247164 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: Tyare dialect | Statement: [Tyari dialect, alternativeName, Tyare dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyare dialect
Context triple: [Tyari dialect, alternativeName, Tyare dialect]
  • A. Tyari dialect chosen
    The Tyari dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Tyari region in the Hakkari mountains.
  • B. Karanogai dialect
    The Karanogai dialect is a regional variety of the Nogai Turkic language spoken by Nogai communities, distinguished by its own phonetic and lexical features.
  • C. Barwar dialect
    The Barwar dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Barwar region in northern Iraq.
  • D. Yaya dialect
    The Yaya dialect is a regional variety of the Ngamo language spoken by communities in northeastern Nigeria.
  • E. Addu dialect
    The Addu dialect is a regional variety of the Dhivehi language traditionally spoken in the Addu Atoll of the Maldives, known for its distinctive phonological and lexical features.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095c5dc88190902582db28df01b4 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc73991881909aa538fce1e05a7c completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:22 p.m.