Triple

T229689
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Nursing, Cairo University E4383 entity
Predicate city P40 FINISHED
Object Cairo E3705 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: Cairo | Statement: [Faculty of Nursing, Cairo University, city, Cairo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cairo
Context triple: [Faculty of Nursing, Cairo University, city, Cairo]
  • A. Cairo chosen
    Cairo is the capital and largest city of Egypt, a historic metropolis on the Nile renowned for its rich Islamic heritage and proximity to the ancient pyramids.
  • B. Zagazig
    Zagazig is a city in Egypt’s Nile Delta that serves as an important regional center for agriculture, education, and transportation.
  • C. New Cairo
    New Cairo is a planned satellite city east of central Cairo in Egypt, developed to ease congestion in the capital and host modern residential, educational, and business districts.
  • D. Mansoura
    Mansoura is a major city in Egypt’s Nile Delta, serving as an important regional center for agriculture, commerce, and transportation.
  • E. Cairo Governorate
    Cairo Governorate is an administrative region of Egypt that encompasses the city of Cairo, serving as the political and cultural heart of the country.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cac7994819080b0b3b10808f8e5 completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a462f0d0f081909615f95458d6d267 completed March 1, 2026, 4:01 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.