Triple

T2942900
Position Surface form Disambiguated ID Type / Status
Subject South Sulawesi E79427 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Toraja-Saʼdan language E153924 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: Toraja-Saʼdan language | Statement: [South Sulawesi, hasLocalLanguage, Toraja-Saʼdan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toraja-Saʼdan language
Context triple: [South Sulawesi, hasLocalLanguage, Toraja-Saʼdan language]
  • A. Toraja-Saʼdan language chosen
    The Toraja-Saʼdan language is an Austronesian language spoken primarily by the Toraja people in the highland regions of South Sulawesi, Indonesia.
  • B. Enrekang language
    The Enrekang language is an Austronesian language spoken by the Enrekang people in South Sulawesi, Indonesia.
  • C. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • D. Banda-Linda language
    The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
  • E. Mari language
    The Mari language is a Uralic language spoken primarily by the Mari people in the Mari El Republic and surrounding regions of Russia, known for its distinct dialects and rich oral tradition.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9871fc908190ad90e5b01b476b3f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08689ec3481909d9f039069ff19c7 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:56 p.m.