Triple

T12623488
Position Surface form Disambiguated ID Type / Status
Subject Tewfik Pasha E301449 entity
Predicate placeOfBirth P1 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: [Tewfik Pasha, placeOfBirth, Cairo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cairo
Context triple: [Tewfik Pasha, placeOfBirth, 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. Cairo
    Cairo is a 2D graphics library that provides high-quality vector-based drawing capabilities for multiple output devices and backends.
  • C. Cairo
    Cairo is a 2D graphics library that provides high-quality vector-based drawing with support for multiple output backends such as image buffers, PDF, and SVG.
  • D. Greater Cairo
    Greater Cairo is Egypt’s largest metropolitan region, encompassing Cairo and its surrounding urban areas as the country’s primary political, economic, and cultural hub.
  • E. Alexandria, Egypt
    Alexandria, Egypt is a historic Mediterranean port city founded by Alexander the Great, renowned for its ancient library, lighthouse, and enduring cultural significance in Egypt.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610a897c8190a96f3c78d4b270a2 completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6f8e9881908f350aa3cefef269 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:14 p.m.