Triple

T21145696
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Aqaba coastline E521048 entity
Predicate hasPortCity P2745 FINISHED
Object Sharm El Sheikh 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 | Statement: [Gulf of Aqaba coastline, hasPortCity, Sharm El Sheikh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharm El Sheikh
Context triple: [Gulf of Aqaba coastline, hasPortCity, Sharm El Sheikh]
  • 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. Hurghada
    Hurghada is a major Egyptian Red Sea resort city known for its beaches, diving, and tourism industry.
  • C. 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.
  • D. 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.
  • E. Marsa Matruh
    Marsa Matruh is a coastal city in northwestern Egypt on the Mediterranean Sea, known as a popular summer resort and gateway to nearby beaches and historical sites.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fcdb7c8190ae04d6ad9dff3187 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.