Triple

T1209880
Position Surface form Disambiguated ID Type / Status
Subject The Harafish E25973 entity
Predicate hasSettingElement P3538 FINISHED
Object Cairo alley E26674 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: Cairo alley | Statement: [The Harafish, hasSettingElement, Cairo alley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cairo alley
Context triple: [The Harafish, hasSettingElement, Cairo alley]
  • A. 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.
  • B. New Cairo
    New Cairo is a planned satellite city east of central Cairo in Egypt, developed to ease congestion in the capital and host modern residential, educational, and business districts.
  • C. Midaq Alley chosen
    Midaq Alley is a novel by Egyptian Nobel laureate Naguib Mahfouz that portrays the intertwined lives of residents in a poor Cairo neighborhood during the 1940s.
  • D. Hamra Street
    Hamra Street is a major commercial and cultural thoroughfare in Beirut, Lebanon, known for its shops, cafes, nightlife, and vibrant urban life.
  • E. Khan el-Khalili
    Khan el-Khalili is a historic bazaar and souq in Cairo renowned for its bustling markets, traditional crafts, and vibrant atmosphere.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf169868819090cfab7e34c40c67 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f419b8c8190ac7642b9b4108df8 completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.