Triple

T21473319
Position Surface form Disambiguated ID Type / Status
Subject Rubiana E529786 entity
Predicate neighboringLanguages P16383 FINISHED
Object Vangunu NE NERFINISHED

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: Vangunu | Statement: [Rubiana, neighboringLanguages, Vangunu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vangunu
Context triple: [Rubiana, neighboringLanguages, Vangunu]
  • A. Vangunu chosen
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • B. Vella
    Vella is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its traditional alpine setting and proximity to the Surselva region.
  • C. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • D. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • E. Menongue
    Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea156dac819087c4594d022d3df6 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.