Triple

T7224894
Position Surface form Disambiguated ID Type / Status
Subject Prince Mohammad bin Abdulaziz International Airport E150353 entity
Predicate servesPilgrimageType P74747 FINISHED
Object Hajj 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: Hajj | Statement: [Prince Mohammad bin Abdulaziz International Airport, servesPilgrimageType, Hajj]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesPilgrimageType
Context triple: [Prince Mohammad bin Abdulaziz International Airport, servesPilgrimageType, Hajj]
  • A. hasPilgrimageType chosen
    Indicates that an entity is associated with a specific type or category of pilgrimage.
  • B. isPilgrimageDestination
    Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
  • C. pilgrimageObligationAppliesTo
    Indicates that the duty or requirement to perform a pilgrimage applies to a particular entity.
  • D. pilgrimagePractice
    Indicates that an entity engages in, prescribes, or is associated with the religious act of undertaking a pilgrimage as a spiritual practice.
  • E. pilgrimageAssociatedWith
    Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9dc835881909ea646c392a980b6 completed March 27, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69c6e761b7fc8190857794d78af1b468 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:54 p.m.