Triple

T9079178
Position Surface form Disambiguated ID Type / Status
Subject Tanna E217569 entity
Predicate hasLanguage P15 FINISHED
Object Whitesands language E655578 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: Whitesands language | Statement: [Tanna, hasLanguage, Whitesands language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitesands language
Context triple: [Tanna, hasLanguage, Whitesands language]
  • A. Whitesands language chosen
    The Whitesands language is an Oceanic language spoken on Tanna Island in Vanuatu, closely related to Lenakel and part of the South Vanuatu language group.
  • B. Curripaco language
    The Curripaco language is an Arawakan language spoken by the Curripaco people of the Northwest Amazon region in Brazil, Colombia, and Venezuela.
  • C. Nottoway language
    The Nottoway language is an extinct Iroquoian language once spoken by the Nottoway (Cheroenhaka) people of southeastern Virginia.
  • D. Saraveca language
    The Saraveca language is an extinct Arawakan language once spoken in Bolivia, known from very limited historical documentation.
  • E. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c93ee48190842623b57e50f4cf completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:12 p.m.