Triple

T18165419
Position Surface form Disambiguated ID Type / Status
Subject وادي عربة E434879 entity
Predicate اللغة الشائعة في جانبه الشرقي P109219 FINISHED
Object اللغة العربية 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: اللغة العربية | Statement: [وادي عربة, اللغة الشائعة في جانبه الشرقي, اللغة العربية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: اللغة الشائعة في جانبه الشرقي
Context triple: [وادي عربة, اللغة الشائعة في جانبه الشرقي, اللغة العربية]
  • A. hasLanguageOnEasternSide chosen
    Indicates that a specified language is used or spoken on the eastern side of a given area, boundary, or region.
  • B. hasLanguageOfSide
    Indicates that an entity uses or is associated with a particular language on a specific side or aspect (e.g., one side of a bilingual object or interface).
  • C. isWidelySpokenIn
    Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
  • D. primaryLanguageSide2
    Indicates that the second entity in the relationship uses or is associated with the primary language specified.
  • E. regionalCenterOfEasternSide
    Indicates that an entity functions as the primary administrative or functional center for the eastern part of a larger region or area.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec71b7881908d123d0cea3adf1f completed April 19, 2026, 1:55 p.m.
PD Predicate disambiguation batch_69e4331baeb88190b21f50a98c36c78e completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:30 a.m.