Triple

T22120647
Position Surface form Disambiguated ID Type / Status
Subject Velzyland E546656 entity
Predicate hasAlternativeName P39 FINISHED
Object V-Land 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: V-Land | Statement: [Velzyland, hasAlternativeName, V-Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: V-Land
Context triple: [Velzyland, hasAlternativeName, V-Land]
  • A. Velzyland chosen
    Velzyland is a well-known surf break and beach area on the North Shore of Oʻahu in Hawaii, popular for its consistent waves and local surf culture.
  • B. Vikeland
    Vikeland is a small settlement located within the municipality of Kvæfjord in Troms og Finnmark county, Norway.
  • C. Ventureland
    Ventureland is a film and television production company known for creating documentary and non-fiction content, including the investigative series "FIFA Uncovered."
  • D. Bright Land
    "Bright Land" is a celebrated landscape painting by Canadian artist Arthur Lismer, exemplifying the bold color and expressive style associated with the Group of Seven.
  • E. Vabysmo
    Vabysmo is the brand name for faricimab, an injectable eye medication used to treat retinal diseases such as neovascular (wet) age-related macular degeneration and diabetic macular edema.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12951fcd48190841319cd879c15cb completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.