Triple

T7257408
Position Surface form Disambiguated ID Type / Status
Subject Wewewa language E157755 entity
Predicate hasAlternativeName P39 FINISHED
Object Wejéwa E652674 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: Wejéwa | Statement: [Wewewa language, hasAlternativeName, Wejéwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wejéwa
Context triple: [Wewewa language, hasAlternativeName, Wejéwa]
  • A. Wejewa chosen
    Wejewa is an Austronesian language spoken by the Wejewa people on the island of Sumba in eastern Indonesia.
  • B. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • E. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa3d88081908f59ca5a85790290 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db14f6c481908084aaa49d82787d completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:57 p.m.