Triple

T283081
Position Surface form Disambiguated ID Type / Status
Subject Arabs E5830 entity
Predicate macrolanguage P5218 FINISHED
Object Arabic language 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: Arabic language | Statement: [Arabs, macrolanguage, Arabic language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabic language
Context triple: [Arabs, macrolanguage, Arabic language]
  • A. Arabic chosen
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • B. Mesopotamian Arabic
    Mesopotamian Arabic is a major variety of Arabic spoken primarily in Iraq and neighboring regions, characterized by distinctive phonological and grammatical features that set it apart from other Arabic dialects.
  • C. Hijazi Arabic
    Hijazi Arabic is a major regional variety of Arabic spoken primarily in western Saudi Arabia, especially in the Hijaz region including cities like Mecca, Medina, and Jeddah.
  • D. Levantine Arabic
    Levantine Arabic is a major colloquial variety of Arabic spoken primarily in the Eastern Mediterranean region, including countries such as Lebanon, Syria, Jordan, and Palestine.
  • E. 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.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e0c14b48190a5c936bab36180b3 completed Feb. 28, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a3387b1c81909740dfe735efb399 completed March 1, 2026, 2:23 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.