Triple

T20319889
Position Surface form Disambiguated ID Type / Status
Subject الطور E492180 entity
Predicate يستخدم_ك P98 FINISHED
Object اسم حي سكني في القدس الشرقية 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: اسم حي سكني في القدس الشرقية | Statement: [الطور, يستخدم_ك, اسم حي سكني في القدس الشرقية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يستخدم_ك
Context triple: [الطور, يستخدم_ك, اسم حي سكني في القدس الشرقية]
  • A. используетсяС
    Indicates that something is used together with or by means of another entity.
  • B. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • C. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. isUsedUnder
    Indicates that one entity is utilized or applied within the context, conditions, or framework defined by 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778abd14819098a01fd32217fdde completed April 20, 2026, 6:59 p.m.
PD Predicate disambiguation batch_69e55b23a0788190bf1853ef5b81823f completed April 19, 2026, 10:45 p.m.
Created at: April 16, 2026, 11:20 a.m.