Triple

T4760467
Position Surface form Disambiguated ID Type / Status
Subject Leningrad Codex E105685 entity
Predicate placeOfOrigin P3743 FINISHED
Object Fustat E141156 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: Fustat | Statement: [Leningrad Codex, placeOfOrigin, Fustat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fustat
Context triple: [Leningrad Codex, placeOfOrigin, Fustat]
  • A. Fustat chosen
    Fustat was the early Islamic capital of Egypt and a major medieval urban center that later became part of Cairo.
  • B. Fatimid Cairo
    Fatimid Cairo was the medieval capital of the Fatimid Caliphate in Egypt, serving as a major political, religious, and cultural center of the Ismaili Shia Muslim world.
  • C. Umm el-Qaab
    Umm el-Qaab is an early dynastic royal cemetery at Abydos in Upper Egypt, known as the burial place of many of Egypt’s first pharaohs.
  • D. Kasr Al Ainy
    Kasr Al Ainy is a historic medical campus and hospital complex in Cairo that serves as the main site of Cairo University's Faculty of Medicine.
  • E. Gemmayzeh
    Gemmayzeh is a historic, bohemian neighborhood in Beirut known for its traditional architecture, vibrant nightlife, and cultural scene.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650dc7fc81909b483ef3c456ae0d completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a7c72c48190a562d6261e323b4b completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:20 p.m.