Triple

T26756825
Position Surface form Disambiguated ID Type / Status
Subject صخرة الحمام E674693 entity
Predicate يستخدم_ل P98 FINISHED
Object مشاهدة المناظر الطبيعية 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: مشاهدة المناظر الطبيعية | Statement: [صخرة الحمام, يستخدم_ل, مشاهدة المناظر الطبيعية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يستخدم_ل
Context triple: [صخرة الحمام, يستخدم_ل, مشاهدة المناظر الطبيعية]
  • A. используетсяС
    Indicates that something is used together with or by means of another entity.
  • B. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • C. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • D. isSometimesUsedFor
    Indicates that something serves a particular purpose or function on some occasions, but not consistently or exclusively.
  • E. usedVia
    Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
  • 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_69eecda6e9dc81908452fab3ba17ed9b completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f618d5fdd081908e5cad0c64a2e6c9 completed May 2, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69f60b8dfa0c8190864e1a940024d0a0 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 3:56 a.m.