Triple

T33613380
Position Surface form Disambiguated ID Type / Status
Subject Bayt Allah E861047 entity
Predicate qiblaContext P86711 FINISHED
Object Muslims face Bayt Allah (Kaaba) during prayer 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: Muslims face Bayt Allah (Kaaba) during prayer | Statement: [Bayt Allah, qiblaContext, Muslims face Bayt Allah (Kaaba) during prayer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: qiblaContext
Context triple: [Bayt Allah, qiblaContext, Muslims face Bayt Allah (Kaaba) during prayer]
  • A. qiblihFor
    Indicates a directional or locational relationship specifying that something is oriented toward, aligned with, or designated for a particular qiblih (direction of prayer).
  • B. qiblaChangedTo
    Indicates that the direction of ritual prayer or religious orientation has been altered to point toward a new specified location.
  • C. hasQiblaDirection chosen
    Indicates the directional relationship specifying which way one should face (toward the Kaaba in Mecca) for prayer.
  • D. hasQiblaWall
    Indicates that a structure or space possesses a designated qibla wall, i.e., the wall oriented toward the direction of Islamic prayer.
  • E. qiblaChangedFrom
    Indicates that the direction of prayer (qibla) was previously oriented toward a specified location before being changed to a new direction.
  • 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_69f3498037c88190a4500f002b5540e0 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f7e459708190b0a31f51946c630f completed May 3, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69f6f6632dfc8190af85e258c8519207 completed May 3, 2026, 7:16 a.m.
Created at: May 1, 2026, 1:41 a.m.