Triple

T21666997
Position Surface form Disambiguated ID Type / Status
Subject Segai–Modang subgroup E534747 entity
Predicate languageFamily P1047 FINISHED
Object Kayanic 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: Kayanic | Statement: [Segai–Modang subgroup, languageFamily, Kayanic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kayanic
Context triple: [Segai–Modang subgroup, languageFamily, Kayanic]
  • A. Kayanic chosen
    Kayanic is a term used to refer to a group of related Austronesian languages spoken primarily by the Kayan people of Borneo.
  • B. Kaytete
    Kaytete are an Aboriginal Australian people, also known as the Kaytetye, traditionally associated with the central Northern Territory.
  • C. Kelan
    Kelan is a masculine given name used in various English-speaking countries, sometimes considered a modern variant of names like Kellen or Keelan.
  • D. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • E. Kinan
    Kinan is a given name most notably associated with Syrian clarinetist and composer Kinan Azmeh.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0c236881909ffaefea8601b1c2 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:37 p.m.