Triple

T11068420
Position Surface form Disambiguated ID Type / Status
Subject Islam in Yemen E261682 entity
Predicate influencesCalendar P5453 FINISHED
Object use of Islamic lunar calendar in Yemen 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: use of Islamic lunar calendar in Yemen | Statement: [Islam in Yemen, influencesCalendar, use of Islamic lunar calendar in Yemen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencesCalendar
Context triple: [Islam in Yemen, influencesCalendar, use of Islamic lunar calendar in Yemen]
  • A. religiousCalendar
    Indicates that there is an association between an entity and a system of dates and observances defined by a particular religion or religious tradition.
  • B. majorPublicCelebrations
    Indicates that the subject is the focus or site of large-scale public festivities or commemorative events recognized and attended by the broader community.
  • C. celebratedEvent
    Indicates that an entity has been honored, commemorated, or festively observed as a special event.
  • D. relatedHoliday
    Indicates that there is an association or connection between two holidays, such as thematic, temporal, cultural, or contextual relatedness.
  • E. calendarType chosen
    Indicates the type or system of calendar associated with an entity (e.g., Gregorian, lunar, fiscal).
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
PD Predicate disambiguation batch_69d74411d9e881908c0eeafa0f38e4b6 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.