Triple

T9577693
Position Surface form Disambiguated ID Type / Status
Subject Sawunese language E231085 entity
Predicate hasAlternativeName P39 FINISHED
Object Savu language E177711 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: Savu language | Statement: [Sawunese language, hasAlternativeName, Savu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savu language
Context triple: [Sawunese language, hasAlternativeName, Savu language]
  • A. Savosavo language
    The Savosavo language is a Papuan (non-Austronesian) language spoken by the indigenous inhabitants of Savo Island in the Solomon Islands.
  • B. Sawu language chosen
    The Sawu language is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
  • C. Sakao language
    The Sakao language is an Oceanic language spoken on Espiritu Santo Island in Vanuatu, known for its complex phonology and rich system of verbal morphology.
  • D. Savara language
    The Savara language is an Austroasiatic language spoken by the Sora (Savara) tribal communities in parts of eastern India, particularly in Odisha and Andhra Pradesh.
  • E. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ad7d108190a0b8c975351ea727 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16155b3288190ac135c3a1e58cc7e completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.