Triple

T113016
Position Surface form Disambiguated ID Type / Status
Subject Jewish diaspora E2286 entity
Predicate hasLanguage P15 FINISHED
Object Judeo-Arabic E2282 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: Judeo-Arabic | Statement: [Jewish diaspora, hasLanguage, Judeo-Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judeo-Arabic
Context triple: [Jewish diaspora, hasLanguage, Judeo-Arabic]
  • A. Judeo-Arabic chosen
    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.
  • B. Hebrew
    Hebrew is an ancient Northwest Semitic language that became the liturgical and historical language of the Jewish people and was later revived as the modern spoken language of the State of Israel.
  • C. Judeo-Persian
    Judeo-Persian is a group of Persian dialects historically spoken and written by Jewish communities in Iran, typically using the Hebrew script and incorporating Hebrew and Aramaic elements.
  • D. Arabic
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • E. 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.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256eddd748190984a304000988a75 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c272c04481909ad035b719ac4798 completed Feb. 28, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.