Triple

T33689364
Position Surface form Disambiguated ID Type / Status
Subject طريق 25 E863131 entity
Predicate يستخدم لـ P98 FINISHED
Object نقل الركاب 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: نقل الركاب | Statement: [طريق 25, يستخدم لـ, نقل الركاب]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يستخدم لـ
Context triple: [طريق 25, يستخدم لـ, نقل الركاب]
  • A. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • B. usedForProduct
    Indicates that one entity serves as a tool, component, or means specifically employed in the creation, operation, or delivery of another entity considered as a product.
  • C. usedForService
    Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
  • D. используетсяС
    Indicates that something is used together with or by means of another entity.
  • E. isSometimesUsedFor
    Indicates that something serves a particular purpose or function on some occasions, but not consistently or exclusively.
  • 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.