Triple

T9694291
Position Surface form Disambiguated ID Type / Status
Subject Machi E234608 entity
Predicate associatedWith P37 FINISHED
Object Mapudungun language E234610 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: Mapudungun language | Statement: [Machi, associatedWith, Mapudungun language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapudungun language
Context triple: [Machi, associatedWith, Mapudungun language]
  • A. Mapudungun language chosen
    Mapudungun is the indigenous language of the Mapuche people of south-central Chile and southwestern Argentina, belonging to the Araucanian language family and still spoken by a significant community today.
  • B. Kalanga language
    The Kalanga language is a Bantu language spoken primarily by the Kalanga people in parts of Botswana and southwestern Zimbabwe.
  • C. Malasanga language
    The Malasanga language is an Oceanic language spoken in Papua New Guinea, belonging to the Kula–Malasanga subgroup of the Austronesian language family.
  • D. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • E. Gathang language
    Gathang language is an Aboriginal Australian language traditionally spoken by the Worimi and neighboring peoples of the mid-north coast of New South Wales.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d348868819083aec7a5da8c455b completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911d33f081908637cbf4c1949bcd completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:17 p.m.