Triple

T7129031
Position Surface form Disambiguated ID Type / Status
Subject Lamaholot language E166137 entity
Predicate hasNeighbouringLanguage P16383 FINISHED
Object Sika language E174813 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: Sika language | Statement: [Lamaholot language, hasNeighbouringLanguage, Sika language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sika language
Context triple: [Lamaholot language, hasNeighbouringLanguage, Sika language]
  • A. Sika language chosen
    The Sika language is an Austronesian language spoken by the Sika people on the island of Flores in eastern Indonesia.
  • B. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • C. Kisukuma language
    Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • D. Matsigenka language
    The Matsigenka language is an Arawakan language spoken by the Matsigenka people of the Peruvian Amazon, known for its rich oral tradition and close relation to other Kampan Arawak languages.
  • E. Ikalanga language
    Ikalanga language is a Bantu language spoken primarily in Botswana and southwestern Zimbabwe by the Kalanga people.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.