Triple

T158471
Position Surface form Disambiguated ID Type / Status
Subject Rosary E3228 entity
Predicate traditionalDayAssociation P3309 FINISHED
Object Joyful Mysteries on Monday and Saturday 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: Joyful Mysteries on Monday and Saturday | Statement: [Rosary, traditionalDayAssociation, Joyful Mysteries on Monday and Saturday]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalDayAssociation
Context triple: [Rosary, traditionalDayAssociation, Joyful Mysteries on Monday and Saturday]
  • A. relatedHoliday
    Indicates that there is an association or connection between two holidays, such as thematic, temporal, cultural, or contextual relatedness.
  • B. typicalSchedule chosen
    Indicates the usual or standard timing and sequence of activities or events associated with an entity.
  • C. nationalHoliday
    Indicates that a particular day is officially recognized and observed as a national holiday by a country or nation.
  • D. hasWeeklyHolyDay
    Indicates that an entity observes or is associated with a recurring holy or sacred day that occurs weekly.
  • E. holidayType
    Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2583169a0819081b658882e5bc452 completed Feb. 28, 2026, 2:51 a.m.
PD Predicate disambiguation batch_69a25660c2a48190b4174d5e6da3cb9d completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.