Triple

T7292126
Position Surface form Disambiguated ID Type / Status
Subject Hajj al-tamattu’ E164421 entity
Predicate distinctionFromHajjAlQiran P75427 FINISHED
Object Umrah and Hajj are done in two separate ihrams 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: Umrah and Hajj are done in two separate ihrams | Statement: [Hajj al-tamattu’, distinctionFromHajjAlQiran, Umrah and Hajj are done in two separate ihrams]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distinctionFromHajjAlQiran
Context triple: [Hajj al-tamattu’, distinctionFromHajjAlQiran, Umrah and Hajj are done in two separate ihrams]
  • A. sequenceInHajj
    Indicates that one event, ritual, or action occurs at a specific position or order within the overall sequence of activities in the Hajj.
  • B. distanceFromJeddah
    Indicates the measured spatial distance between a given entity and the location of Jeddah.
  • C. المنصب_في_قريش
    Indicates that a person holds or held a specific official or social position within the Quraysh tribe.
  • D. distanceFromMecca
    Indicates the measured spatial distance between a given location and the city of Mecca.
  • E. differsFromSunniIslamIn
    Indicates that one belief system, practice, or doctrine is different from Sunni Islam in some specified aspect or respects.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6fc5788190b1b339d051f93c22 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76c5fbc8190b378830082f11cb0 completed March 27, 2026, 8:24 p.m.
PDg Predicate description generation batch_69c6e82b0f9881909d29c99af1ea0dbf completed March 27, 2026, 8:27 p.m.
Created at: March 27, 2026, 3 p.m.