Triple

T57460
Position Surface form Disambiguated ID Type / Status
Subject Egypt E1136 entity
Predicate nationalLanguage P236 FINISHED
Object Egyptian 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: Egyptian Arabic | Statement: [Egypt, nationalLanguage, Egyptian Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egyptian Arabic
Context triple: [Egypt, nationalLanguage, Egyptian Arabic]
  • A. Arabic chosen
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • B. Arab world
    The Arab world is a culturally and linguistically connected region of Arabic-speaking countries spanning North Africa and Western Asia.
  • C. Egypt
    Egypt is a transcontinental country in Northeast Africa and the Sinai Peninsula, renowned for its ancient civilization, monumental pyramids, and the Nile River.
  • D. Egyptian government
    The Egyptian government is the central governing authority of Egypt, responsible for national administration, legislation, and public policy across the country.
  • E. Koine Greek
    Koine Greek is the common dialect of ancient Greek that served as the primary language of the New Testament and early Christian writings.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b1bf2c081908f20e13939b713ff completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e67187c8190950aec5d9f8ecc60 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.