Triple

T15684373
Position Surface form Disambiguated ID Type / Status
Subject Vidovdan E380158 entity
Predicate hasAlternativeName P39 FINISHED
Object Vidov day E380158 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: Vidov day | Statement: [Vidovdan, hasAlternativeName, Vidov day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vidov day
Context triple: [Vidovdan, hasAlternativeName, Vidov day]
  • A. Reyvroz
    Reyvroz is a small commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • B. Marele Day
    Marele Day is an Australian crime and literary fiction author known for works such as the novel "Lambs of God."
  • C. Vigantice
    Vigantice is a small village in the Zlín Region of the Czech Republic, known as the birthplace of footballer Milan Baroš.
  • D. Vidovdan chosen
    Vidovdan is a major Serbian religious and national holiday commemorating the martyrdom of Prince Lazar and the Battle of Kosovo, symbolizing sacrifice and Serbian identity.
  • E. Mashujaa Day
    Mashujaa Day is a Kenyan national holiday celebrated on October 20th to honor the country’s heroes and heroines who contributed to the struggle for independence and nation-building.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee740e08190aa048b374ea7bfa0 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:43 a.m.