Triple

T282770
Position Surface form Disambiguated ID Type / Status
Subject Palestinian E5824 entity
Predicate hasLanguage P15 FINISHED
Object Palestinian Arabic E7623 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: Palestinian Arabic | Statement: [Palestinian, hasLanguage, Palestinian Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palestinian Arabic
Context triple: [Palestinian, hasLanguage, Palestinian Arabic]
  • A. Levantine Arabic chosen
    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.
  • 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. Palestinian
    A Palestinian is a person belonging to the Arab population with historical, cultural, and national ties to Palestine.
  • D. Egyptian Arabic
    Egyptian Arabic is the most widely understood modern Arabic dialect, centered in Egypt and heavily influenced by the speech and media of Cairo.
  • E. Arabic
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • 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_69a399a74d448190a4857ce008e64e7e completed March 1, 2026, 1:43 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.