Triple

T8673918
Position Surface form Disambiguated ID Type / Status
Subject Ain Sokhna E205866 entity
Predicate partOf P40 FINISHED
Object Red Sea Riviera E235405 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: Red Sea Riviera | Statement: [Ain Sokhna, partOf, Red Sea Riviera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Sea Riviera
Context triple: [Ain Sokhna, partOf, Red Sea Riviera]
  • A. Red Sea coast chosen
    The Red Sea coast is the long, narrow shoreline bordering the Red Sea, known for its arid climate, coral-rich waters, and strategic location between Africa and the Arabian Peninsula.
  • 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. Ras al-Ghar
    Ras al-Ghar is a key coastal military installation in Saudi Arabia that serves as one of the principal bases for the Royal Saudi Naval Forces.
  • D. Nuweiba
    Nuweiba is a coastal town in Egypt’s Sinai Peninsula known for its port on the Gulf of Aqaba and its role as a gateway for regional maritime travel and tourism.
  • E. Red Sea Governorate
    Red Sea Governorate is an Egyptian administrative region along the Red Sea coast, known for its major resort cities like Hurghada and Marsa Alam and its tourism-driven economy.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491cee048190a6f6cddabada76dc completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd43c91c8190a9d1e5d14d764530 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.