Triple

T26595331
Position Surface form Disambiguated ID Type / Status
Subject Qarin E667474 entity
Predicate performsUmrahSa‘i P170954 FINISHED
Object yes 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: yes | Statement: [Qarin, performsUmrahSa‘i, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: performsUmrahSa‘i
Context triple: [Qarin, performsUmrahSa‘i, yes]
  • A. performsUmrahTawaf chosen
    Indicates that an entity carries out the ritual circumambulation (tawaf) around the Kaaba as part of performing Umrah.
  • B. numberOfTraversalsInHajjSa'i
    Indicates the count of times a person moves back and forth between the designated points in the Sa'i ritual during Hajj.
  • C. performedHajj
    Indicates that the subject has completed the Islamic pilgrimage of Hajj.
  • D. umrahIncluded
    Indicates that the arrangement, package, or service includes the performance of Umrah as part of what is provided.
  • E. mayCombineSa‘iForHajjAndUmrah
    Indicates that the performance of Sa‘i (the ritual walking) for Hajj and ‘Umrah may be combined into a single Sa‘i instead of performing them separately.
  • 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_69ee9cfc385081909ac9ae178030a06e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 27, 2026, 2:10 a.m.