Triple

T7124849
Position Surface form Disambiguated ID Type / Status
Subject Mishing language E166033 entity
Predicate closelyRelatedTo P37 FINISHED
Object Adi language E572279 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: Adi language | Statement: [Mishing language, closelyRelatedTo, Adi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adi language
Context triple: [Mishing language, closelyRelatedTo, Adi language]
  • A. Adi language chosen
    The Adi language is a Tibeto-Burman language spoken primarily by the Adi people of Arunachal Pradesh in northeastern India.
  • B. Andi language
    The Andi language is a Northeast Caucasian language spoken by the Andi people in the western part of Dagestan, Russia.
  • C. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • D. Udi language
    The Udi language is a Northeast Caucasian language spoken by the Udi people, primarily in Azerbaijan and neighboring regions, and is notable for preserving features of the ancient Caucasian Albanian language.
  • E. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64c0f688190a9b7482d86c2f033 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a331ff988190886bde89035623c0 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.