Triple

T9496126
Position Surface form Disambiguated ID Type / Status
Subject Savosavo language E229008 entity
Predicate hasAlternativeName P39 FINISHED
Object Savo language E229008 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: Savo language | Statement: [Savosavo language, hasAlternativeName, Savo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savo language
Context triple: [Savosavo language, hasAlternativeName, Savo language]
  • A. Savosavo language chosen
    The Savosavo language is a Papuan (non-Austronesian) language spoken by the indigenous inhabitants of Savo Island in the Solomon Islands.
  • B. 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.
  • C. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • D. Tavgi language
    Tavgi language is an endangered Samoyedic language of the Uralic family traditionally spoken by the Nganasan people of the Siberian Arctic.
  • E. 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.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95eb87b081908fc7255598cd9a24 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d34967881909980be6f1be80885 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.