Triple

T2481282
Position Surface form Disambiguated ID Type / Status
Subject Cairo Governorate E55820 entity
Predicate contains P35 FINISHED
Object Helwan E45541 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: Helwan | Statement: [Cairo Governorate, contains, Helwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helwan
Context triple: [Cairo Governorate, contains, Helwan]
  • A. Helwan chosen
    Helwan is an industrial and residential city in southern Greater Cairo, Egypt, known for its factories, universities, and historic spa resorts along the Nile.
  • B. Giza
    Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
  • C. Abydos
    Abydos was an ancient Greek city strategically located on the Asian shore of the Hellespont (Dardanelles), known for controlling a key crossing point between Europe and Asia.
  • D. Abydos
    Abydos is an ancient Egyptian city renowned as a major religious center and burial site, closely associated with the cult of Osiris and other important deities.
  • E. Kasr Al Ainy
    Kasr Al Ainy is a historic medical campus and hospital complex in Cairo that serves as the main site of Cairo University's Faculty of Medicine.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd161bf3c8190834502968180e9cf completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af8383c0988190885a865c3150c64d completed March 10, 2026, 2:35 a.m.
Created at: March 6, 2026, 9:45 p.m.