Triple

T21706319
Position Surface form Disambiguated ID Type / Status
Subject Al-Azhar area E535779 entity
Predicate hasLandmark P105 FINISHED
Object Al-Azhar Street — 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: Al-Azhar Street | Statement: [Al-Azhar area, hasLandmark, Al-Azhar Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al-Azhar Street
Context triple: [Al-Azhar area, hasLandmark, Al-Azhar Street]
  • A. Al-Ahram Street
    Al-Ahram Street is a major thoroughfare in Cairo’s Heliopolis district, known for its commercial activity and role as a key urban artery in the area.
  • B. Qasr El Aini Street
    Qasr El Aini Street is a prominent thoroughfare in central Cairo that runs along the Nile and connects key governmental, medical, and educational institutions.
  • C. El-Merghany Street
    El-Merghany Street is a major commercial and residential thoroughfare in Cairo’s Heliopolis district, known for its shops, cafes, and heavy traffic.
  • D. Gamaa Street
    Gamaa Street is a major thoroughfare in Giza, Egypt, running alongside Cairo University and serving as one of the city’s key academic and administrative corridors.
  • E. Al-Gamaliya Street chosen
    Al-Gamaliya Street is a historic thoroughfare in Cairo’s old Islamic quarter, known for its traditional markets, medieval architecture, and vibrant street life.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb52f64c48190b5d59561999e922f completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.