Triple

T7771474
Position Surface form Disambiguated ID Type / Status
Subject Pa’O language E179082 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Karen languages E316920 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: Karen languages | Statement: [Pa’O language, hasNeighboringLanguage, Karen languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen languages
Context triple: [Pa’O language, hasNeighboringLanguage, Karen languages]
  • A. Karen languages chosen
    The Karen languages are a group of Sino-Tibetan languages spoken primarily by the Karen people in Myanmar and Thailand.
  • B. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • C. Kam language
    Kam is a Tai–Kadai language spoken primarily by the Kam (Dong) people of southern China, known for its rich tonal system and distinct northern and southern dialects.
  • D. Kaw language
    The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
  • E. Kiranti languages
    The Kiranti languages are a group of closely related Sino-Tibetan languages spoken primarily by the Kirati peoples of eastern Nepal.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7045ebae88190a04c8f972795e615 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ead45c8190847365d8549eefab completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.