Triple

T19333160
Position Surface form Disambiguated ID Type / Status
Subject Sirkhi E483547 entity
Predicate languageGroup P3349 FINISHED
Object Dargin languages NE NERFINISHED

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: Dargin languages | Statement: [Sirkhi, languageGroup, Dargin languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dargin languages
Context triple: [Sirkhi, languageGroup, Dargin languages]
  • A. Dargin chosen
    Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
  • B. Sara–Bagirmi languages
    The Sara–Bagirmi languages are a group of closely related Central Sudanic languages spoken primarily in Chad and neighboring regions of Central Africa.
  • C. Boran languages
    The Boran languages are a small group of closely related indigenous languages spoken primarily in the northwestern Amazon region of South America.
  • D. Dhegihan languages
    The Dhegihan languages are a subgroup of the Siouan language family traditionally spoken by several Native American tribes of the central United States, including the Omaha, Ponca, Osage, Kansa, and Quapaw.
  • E. Karenic languages
    Karenic languages are a group of Sino-Tibetan languages spoken primarily by the Karen people of Myanmar and neighboring regions of Thailand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61642f49c81909226cfd701f7c139 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.