Triple

T10481160
Position Surface form Disambiguated ID Type / Status
Subject Sureth E247170 entity
Predicate hasDialect P4251 FINISHED
Object Nochiya dialect E247166 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: Nochiya dialect | Statement: [Sureth, hasDialect, Nochiya dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nochiya dialect
Context triple: [Sureth, hasDialect, Nochiya dialect]
  • A. Nochiya dialect chosen
    The Nochiya dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Nochiya area in southeastern Turkey.
  • B. Yoron dialect
    The Yoron dialect is a regional variety of the Amami language spoken on Yoron Island in Japan’s Ryukyu archipelago, characterized by distinct phonological and lexical features within the Northern Ryukyuan language group.
  • C. Kikai dialect
    The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
  • D. Kamia dialect
    The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
  • E. Akusha dialect
    The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
  • 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_69d94b047b588190a116f4fbd4cdbc35 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 12:22 p.m.