Triple

T17168538
Position Surface form Disambiguated ID Type / Status
Subject Tsez language E416667 entity
Predicate closelyRelatedTo P37 FINISHED
Object Hinukh language E416668 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: Hinukh language | Statement: [Tsez language, closelyRelatedTo, Hinukh language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinukh language
Context triple: [Tsez language, closelyRelatedTo, Hinukh language]
  • A. Hinukh language chosen
    The Hinukh language is a highly endangered Northeast Caucasian language spoken by a small community in the mountainous region of Dagestan, Russia.
  • B. Avikam language
    The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
  • C. Anuki language
    The Anuki language is an Oceanic language spoken by a small coastal community in Papua New Guinea’s Milne Bay Province.
  • D. Zigula language
    The Zigula language is a Bantu language spoken primarily by the Zigula people of northeastern Tanzania and parts of Somalia.
  • E. Halchidhoma language
    The Halchidhoma language is an extinct Yuman language once spoken by the Halchidhoma people along the lower Colorado River in the southwestern United States.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483f85648190acaeb197013e1f1b completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.