Triple

T18820036
Position Surface form Disambiguated ID Type / Status
Subject Steve Strange E460239 entity
Predicate placeOfDeath P21 FINISHED
Object Sharm El Sheikh, Egypt NE NERFINISHED

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: Sharm El Sheikh, Egypt | Statement: [Steve Strange, placeOfDeath, Sharm El Sheikh, Egypt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharm El Sheikh, Egypt
Context triple: [Steve Strange, placeOfDeath, Sharm El Sheikh, Egypt]
  • A. Sharm El Sheikh chosen
    Sharm El Sheikh is a popular Egyptian resort city on the southern tip of the Sinai Peninsula, known for its Red Sea beaches, coral reefs, and diving.
  • B. Dahab
    Dahab is a small Egyptian resort town on the southeast coast of the Sinai Peninsula, known for its laid-back atmosphere, diving spots, and windsurfing.
  • C. Marsa Alam
    Marsa Alam is a coastal Egyptian resort town on the western shore of the Red Sea, known for its diving sites, coral reefs, and relatively undeveloped beaches.
  • D. Hurghada
    Hurghada is a major Egyptian Red Sea resort city known for its beaches, diving, and tourism industry.
  • E. Tura, Egypt
    Tura, Egypt is an ancient quarrying area near Cairo renowned for producing the fine white limestone used in many of Egypt’s most important pyramids and temples.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b9be988190b5e3804c39dc7dd9 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.