Triple

T4713575
Position Surface form Disambiguated ID Type / Status
Subject Peder E104575 entity
Predicate hasNameDayInDenmark P57867 FINISHED
Object 29 June LITERAL 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: 29 June | Statement: [Peder, hasNameDayInDenmark, 29 June]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameDayInDenmark
Context triple: [Peder, hasNameDayInDenmark, 29 June]
  • A. hasNameInDanish
    Indicates that an entity is associated with a specific name expressed in the Danish language.
  • B. hasNameDay
    Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
  • C. hasNameDayContext chosen
    Indicates that an entity’s name day is interpreted or celebrated within a specific contextual framework (such as culture, calendar system, or tradition).
  • D. hasNameInNorwegian
    Indicates that an entity is associated with a specific name expressed in the Norwegian language.
  • E. nameDayExists
    Indicates that there exists a recognized name day associated with a given name (and possibly date or locale).
  • F. None of above.

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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd680beb508190b3d74e20e1c64405 completed March 20, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69bd621ddcd88190903288566f5e5dab completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:18 p.m.