Triple

T12128490
Position Surface form Disambiguated ID Type / Status
Subject Wanetsi people E288870 entity
Predicate language P15 FINISHED
Object Wanetsi language E523941 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: Wanetsi language | Statement: [Wanetsi people, language, Wanetsi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanetsi language
Context triple: [Wanetsi people, language, Wanetsi language]
  • A. Tontemboan language
    The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
  • B. Marakwet language
    The Marakwet language is a Southern Nilotic language spoken by the Marakwet people of Kenya and is closely related to other Kalenjin languages such as Kipsigis.
  • C. Sanglechi language chosen
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • D. Misima-Paneati language
    The Misima-Paneati language is an Oceanic language spoken in the Milne Bay Province of Papua New Guinea, primarily on Misima and nearby islands.
  • E. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9157ce6b88190b16592cc48244db3 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.