Triple

T5275127
Position Surface form Disambiguated ID Type / Status
Subject Angkola language E119354 entity
Predicate hasAlternativeName P39 FINISHED
Object Bahasa Angkola E119354 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: Bahasa Angkola | Statement: [Angkola language, hasAlternativeName, Bahasa Angkola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahasa Angkola
Context triple: [Angkola language, hasAlternativeName, Bahasa Angkola]
  • A. Angkola language chosen
    Angkola language is an Austronesian language of the Batak group spoken primarily by the Angkola people in North Sumatra, Indonesia.
  • B. Anakalangu language
    The Anakalangu language is an Austronesian language spoken by communities on the island of Sumba in eastern Indonesia.
  • C. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • D. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • E. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c23bed88190b406dee21957d823 completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06d1f874819098a9b99f8bb9f654 completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:51 p.m.