Triple

T24307927
Position Surface form Disambiguated ID Type / Status
Subject القدوس E612583 entity
Predicate يُذكر في سياق P118237 FINISHED
Object تسبيح الله 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: تسبيح الله | Statement: [القدوس, يُذكر في سياق, تسبيح الله]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: يُذكر في سياق
Context triple: [القدوس, يُذكر في سياق, تسبيح الله]
  • A. contextOf
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • B. locatedInNationalContext
    Indicates that an entity exists or occurs within the geographical, political, or cultural boundaries of a specific nation.
  • C. appearsInContextWith chosen
    Indicates that two entities are observed or used together within the same situational, textual, or usage context.
  • D. wroteInContextOf
    Indicates that an entity authored or composed something within, or specifically influenced by, a particular context, situation, or set of circumstances.
  • E. context
    Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
  • 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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2922821248190a1b274f839251ddc completed April 29, 2026, 11:20 p.m.
PD Predicate disambiguation batch_69f1c45c6ec081908401b69424428100 completed April 29, 2026, 8:42 a.m.
Created at: April 18, 2026, 1:31 a.m.