Triple

T13135708
Position Surface form Disambiguated ID Type / Status
Subject Arbaeen (40th day after Ashura) E312075 entity
Predicate estimatedPilgrimCount P45240 FINISHED
Object tens of millions of participants in some years 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: tens of millions of participants in some years | Statement: [Arbaeen (40th day after Ashura), estimatedPilgrimCount, tens of millions of participants in some years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedPilgrimCount
Context triple: [Arbaeen (40th day after Ashura), estimatedPilgrimCount, tens of millions of participants in some years]
  • A. pilgrimsPerYearApprox chosen
    Indicates an approximate number of pilgrims who travel to a place within a year.
  • B. hasPilgrims
    Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
  • C. pilgrimFootfall
    Indicates the occurrence or trace of a pilgrim’s steps or movement along a path or at a specific place.
  • D. pilgrimCapacity
    Indicates the maximum number of pilgrims that an entity (such as a facility, vehicle, or location) is designed or allowed to accommodate.
  • E. estimatedEmigrants
    Indicates the estimated number of people who have left a place or country to live elsewhere.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b53fbc8190a0f209c32a00f6cb completed April 10, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69d9804543cc8190a23cd7da59a12a7b completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:08 p.m.