Triple

T33689480
Position Surface form Disambiguated ID Type / Status
Subject رهط E863136 entity
Predicate منطقة_زمنية P2160 FINISHED
Object توقيت إسرائيل القياسي 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: توقيت إسرائيل القياسي | Statement: [رهط, منطقة_زمنية, توقيت إسرائيل القياسي]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: منطقة_زمنية
Context triple: [رهط, منطقة_زمنية, توقيت إسرائيل القياسي]
  • A. zone chosen
    Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
  • B. zoneType
    Indicates the classification or category of a zone that specifies its type or functional designation.
  • C. zoneConcept
    Indicates that one entity is associated with, defined by, or operates within a particular zone or conceptual area specified by another entity.
  • D. zonedTo
    Indicates that one entity is assigned or designated to fall within the jurisdiction, service area, or regulatory zone of another entity.
  • E. timeZoneSideEgypt
    Indicates that one entity is located on the Egyptian side of a time zone boundary or division.
  • 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_69f3498662b48190904442c39df84fb7 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fa67cd908190a1784bd212fe3749 completed May 3, 2026, 7:34 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:43 a.m.