Triple

T1917747
Position Surface form Disambiguated ID Type / Status
Subject Festival of Sacrifice E40055 entity
Predicate prayerTiming P33138 FINISHED
Object morning 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: morning | Statement: [Festival of Sacrifice, prayerTiming, morning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prayerTiming
Context triple: [Festival of Sacrifice, prayerTiming, morning]
  • A. numberOfRakats
    Indicates the specific count of prayer units (rakats) associated with a given prayer or ritual act.
  • B. prayerCall
    Indicates that one entity issues or performs a call to prayer directed toward others.
  • C. optionalRakatsType
    Indicates that a particular type or number of rakats (units of Islamic prayer) is optionally associated with or applicable to an action, event, or prayer.
  • D. includesOptionalRakats
    Indicates that the relationship or action involves the inclusion of optional rakats (units of prayer) as part of a broader prayer or ritual sequence.
  • E. positionInIslamicCalendar
    Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Islamic (Hijri) calendar.
  • F. None of above. chosen

Provenance (4 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2107fe48190bafff825f1f805ad completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafed2ab481908920334e77b1021b completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb1b180e481908bbe893d6ba6208b completed March 7, 2026, 5:03 a.m.
Created at: March 4, 2026, 7:35 p.m.