Triple

T15933617
Position Surface form Disambiguated ID Type / Status
Subject Karen peoples E386383 entity
Predicate primaryLanguage P238 FINISHED
Object Pwo Karen language E175559 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: Pwo Karen language | Statement: [Karen peoples, primaryLanguage, Pwo Karen language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pwo Karen language
Context triple: [Karen peoples, primaryLanguage, Pwo Karen language]
  • A. Pwo Karen language chosen
    Pwo Karen language is a Sino-Tibetan language spoken primarily by the Pwo subgroup of the Karen people in Myanmar and neighboring regions.
  • B. Bwe Karen language
    Bwe Karen language is a Karenic language of the Sino-Tibetan family spoken by the Bwe Karen ethnic group in Myanmar.
  • C. Sgaw Karen language
    Sgaw Karen language is a Sino-Tibetan language spoken primarily by the Sgaw Karen people of Myanmar and Thailand, using its own script and serving as a key marker of Karen cultural identity.
  • D. Pa’O language
    The Pa’O language is a Tibeto-Burman language spoken primarily by the Pa’O (Taungthu) people of Myanmar, especially in Shan and Kayin States.
  • E. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a7bdd88190b1d7349ef920fd06 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b514108190965e77346d8b476e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.