Triple

T37397328
Position Surface form Disambiguated ID Type / Status
Subject Second Mass of Christmas (Roman Rite, traditional) E928888 entity
Predicate hasTemporalCycle P116906 FINISHED
Object Christmas season 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: Christmas season | Statement: [Second Mass of Christmas (Roman Rite, traditional), hasTemporalCycle, Christmas season]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTemporalCycle
Context triple: [Second Mass of Christmas (Roman Rite, traditional), hasTemporalCycle, Christmas season]
  • A. hasTemporalBehavior
    Indicates that an entity exhibits a particular pattern, characteristic, or change in behavior over time.
  • B. hasTemporalResolution
    Indicates that one entity specifies the level of temporal detail or granularity at which another entity’s data, observation, or process is measured or represented.
  • C. hasTemporalAttribute chosen
    Indicates that an entity is associated with a specific temporal property or characteristic, such as time, duration, or period.
  • D. hasTemporalDefinition
    Indicates that something is associated with a definition or specification that is constrained or characterized by time.
  • E. hasTemporalUse
    Indicates that something is used, applicable, or valid only during a specific time or temporal interval.
  • 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_69f76ebb10c481909b54b9dba263e29f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69feaa483fcc81909d8a46b38a8717bf completed May 9, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69fea8c9d45c81908ccc8619e5fefac1 completed May 9, 2026, 3:23 a.m.
Created at: May 3, 2026, 4:16 p.m.