Triple

T8819268
Position Surface form Disambiguated ID Type / Status
Subject Solung E209858 entity
Predicate languageContext P36 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: [Solung, languageContext, Adi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adi language
Context triple: [Solung, languageContext, 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc600e6e2881908934cbff0ab5d6fd completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf89357b488190997f368079ef7e1e completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:46 p.m.