Triple

T14291657
Position Surface form Disambiguated ID Type / Status
Subject Egyptian road network E354326 entity
Predicate connects P390 FINISHED
Object Hurghada E72341 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: Hurghada | Statement: [Egyptian road network, connects, Hurghada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurghada
Context triple: [Egyptian road network, connects, Hurghada]
  • A. Hurghada chosen
    Hurghada is a major Egyptian Red Sea resort city known for its beaches, diving, and tourism industry.
  • B. Sharm El Sheikh
    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.
  • 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. Zagazig
    Zagazig is a city in Egypt’s Nile Delta that serves as an important regional center for agriculture, education, and transportation.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46812ed48190b879afe9a93784e8 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:11 a.m.