Triple

T66692
Position Surface form Disambiguated ID Type / Status
Subject Arabic E1330 entity
Predicate officialLanguageOf P236 FINISHED
Object Egypt E1136 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: Egypt | Statement: [Arabic, officialLanguageOf, Egypt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egypt
Context triple: [Arabic, officialLanguageOf, Egypt]
  • A. Egypt chosen
    Egypt is a transcontinental country in Northeast Africa and the Sinai Peninsula, renowned for its ancient civilization, monumental pyramids, and the Nile River.
  • B. Lower Egypt
    Lower Egypt is the northern, Nile Delta region of ancient Egypt, encompassing the fertile lands around the river’s mouth and key cities such as Giza.
  • C. Aswan
    Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
  • D. Giza
    Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
  • E. Jordan
    Jordan is a Middle Eastern country located at the crossroads of Asia, Africa, and Europe, known for its ancient archaeological sites like Petra and its strategic political role in the region.
  • 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_69a2b85b11c08190b97de9b0382be6d5 completed Feb. 28, 2026, 9:41 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.