Triple

T4688353
Position Surface form Disambiguated ID Type / Status
Subject Klaus E103973 entity
Predicate associatedWith P37 FINISHED
Object Saint Nicholas E38032 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: Saint Nicholas | Statement: [Klaus, associatedWith, Saint Nicholas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Nicholas
Context triple: [Klaus, associatedWith, Saint Nicholas]
  • A. Saint Nicholas of Myra chosen
    Saint Nicholas of Myra was a 4th-century Christian bishop renowned for his generosity and gift-giving, whose legends inspired the modern figure of Santa Claus.
  • B. San Nicolaas
    San Nicolaas is the second-largest city in Aruba, known for its oil refinery history, multicultural community, and vibrant street art scene.
  • C. São Nicolau
    São Nicolau is a mountainous and sparsely populated island in the Barlavento group of Cape Verde, known for its traditional agriculture and scenic volcanic landscapes.
  • D. Saint Christopher
    Saint Christopher is a popular Christian martyr and patron saint, traditionally venerated as the protector of travelers.
  • E. Saint Blaise
    Saint Blaise is a 4th-century Armenian bishop and martyr venerated in the Catholic and Orthodox Churches, especially as a patron saint invoked for healing throat ailments.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6397f6888190a9024a51d4d34f2b completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be105a709c819083504fe1dc1612d8 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:16 p.m.