Triple

T33791738
Position Surface form Disambiguated ID Type / Status
Subject حزب وطني E865949 entity
Predicate يستخدم P98 FINISHED
Object الآليات الديمقراطية 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: الآليات الديمقراطية | Statement: [حزب وطني, يستخدم, الآليات الديمقراطية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يستخدم
Context triple: [حزب وطني, يستخدم, الآليات الديمقراطية]
  • A. используетсяС
    Indicates that something is used together with or by means of another entity.
  • B. exportUse
    Indicates that something is used, intended, or suitable for export from one place or market to another.
  • C. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. эксплуатируется
    Indicates that one entity is being used or operated by another, often in a way that takes advantage of its resources, capabilities, or labor.
  • E. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • 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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:45 a.m.