Triple

T9130426
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Atta E219071 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: [Mohamed Atta, placeOfBirth, Cairo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cairo
Context triple: [Mohamed Atta, 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cdafb48190be5e62b15779d771 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065c40d008190940309772b89a900 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:18 p.m.