Triple

T7189473
Position Surface form Disambiguated ID Type / Status
Subject pilgrimAccommodationZonesInMecca E167650 entity
Predicate hasKeyPlanningCriterion P32324 FINISHED
Object Proximity to the Masjid al-Haram 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: Proximity to the Masjid al-Haram | Statement: [pilgrimAccommodationZonesInMecca, hasKeyPlanningCriterion, Proximity to the Masjid al-Haram]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyPlanningCriterion
Context triple: [pilgrimAccommodationZonesInMecca, hasKeyPlanningCriterion, Proximity to the Masjid al-Haram]
  • A. hasCriterionType
    Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
  • B. hasPlanningCharacteristic chosen
    Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
  • C. hasQualityCriterion
    Indicates that something is associated with a specific standard or criterion used to judge its quality.
  • D. hasPlanningPattern
    Indicates that an entity follows or is associated with a particular planning pattern or structured approach to planning.
  • E. hasKeyDecision
    Indicates that an entity holds primary responsibility or authority for making a significant decision in a given context.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ff1ad0819094761f8c73e3e986 completed March 27, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69c6e752385c819096fbab55566ee2a8 completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:50 p.m.