Triple

T26062148
Position Surface form Disambiguated ID Type / Status
Subject Salah E657287 entity
Predicate asrRakahCount P28128 FINISHED
Object 4 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: 4 | Statement: [Salah, asrRakahCount, 4]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: asrRakahCount
Context triple: [Salah, asrRakahCount, 4]
  • A. seatCount_Rakah
    Indicates the number of seats associated with a given Rakah instance or configuration.
  • B. rakahType
    Indicates the specific type or category of rakah (unit of Islamic prayer) associated with an action or relationship.
  • C. shortenedRakahCountForTravelers
    Indicates that the number of rak‘ahs in a prayer has been reduced due to the performer being a traveler.
  • D. ayahCount
    Indicates the number of verses (ayahs) associated with a given surah or Quranic unit.
  • E. numberOfRakats chosen
    Indicates the specific count of prayer units (rakats) associated with a given prayer or ritual act.
  • 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_69ee5bbd788481909e22bd7153d0c037 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f606941410819098a15b288273c3e1 completed May 2, 2026, 2:13 p.m.
PD Predicate disambiguation batch_69f5aff889988190ad10bcf1a280f717 completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 7:18 p.m.