Triple

T2049993
Position Surface form Disambiguated ID Type / Status
Subject Helwan E45541 entity
Predicate hasFacility P105 FINISHED
Object Helwan sulfur springs 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 sulfur springs | Statement: [Helwan, hasFacility, Helwan sulfur springs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helwan sulfur springs
Context triple: [Helwan, hasFacility, Helwan sulfur springs]
  • 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. Osiria Tourist Complex
    Osiria Tourist Complex is a large coastal leisure and tourism district in Gijang County, Busan, featuring resorts, shopping, entertainment, and family attractions.
  • C. 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.
  • D. Kharga Oasis
    Kharga Oasis is a major inhabited depression in Egypt’s Western Desert, known for its date palms, ancient caravan routes, and archaeological sites spanning Pharaonic to Roman periods.
  • E. Ain Sokhna
    Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98e10d48190bb96cd1f8ea3c08b completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2007386481908b46c7bc2db8e4dd completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.