Triple

T66725
Position Surface form Disambiguated ID Type / Status
Subject Arabic E1330 entity
Predicate hasDialectGroup P1254 FINISHED
Object Najdi Arabic E1330 NE 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: Najdi Arabic | Statement: [Arabic, hasDialectGroup, Najdi Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najdi Arabic
Context triple: [Arabic, hasDialectGroup, Najdi Arabic]
  • A. Arabic chosen
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • B. Judeo-Arabic
    Judeo-Arabic is a group of Arabic dialects historically spoken and written by Jewish communities, typically using the Hebrew script and incorporating Hebrew and Aramaic elements.
  • C. Arabs
    Arabs are a diverse ethnolinguistic group originating from the Arabian Peninsula and surrounding regions, united primarily by the Arabic language and a shared cultural and historical heritage.
  • D. Perso-Arabic script
    The Perso-Arabic script is a modified form of the Arabic writing system, expanded with additional letters and conventions to represent the sounds of Persian and several other languages across the Middle East and South Asia.
  • E. Urdu language
    Urdu is a major South Asian language, written in a Perso-Arabic script and widely used in Pakistan and parts of India in literature, media, and everyday communication.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a2567b592c8190aaf692a18fcd2f1b completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab9477881908508e3130068bca3 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.