Triple

T22879891
Position Surface form Disambiguated ID Type / Status
Subject Zabbaleen community E567431 entity
Predicate alternativeName P39 FINISHED
Object Zabaleen 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: Zabaleen | Statement: [Zabbaleen community, alternativeName, Zabaleen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zabaleen
Context triple: [Zabbaleen community, alternativeName, Zabaleen]
  • A. Zabbaleen chosen
    The Zabbaleen are a community of informal garbage collectors in Cairo, Egypt, known for their extensive recycling practices and settlement near the Mokattam hills.
  • B. Zabbaleen community
    The Zabbaleen community is a predominantly Coptic Christian group in Cairo known for informally collecting and recycling much of the city’s waste, achieving exceptionally high recycling rates despite living in impoverished conditions.
  • C. Gazans
    Gazans are the Palestinian residents of the Gaza Strip, a densely populated coastal enclave along the Mediterranean Sea.
  • D. Orabi
    Orabi is a central Cairo Metro station on Line 1, located in downtown Cairo near major commercial and administrative areas.
  • E. Mohandessin
    Mohandessin is a prominent, upscale district in Giza, Egypt, known for its residential neighborhoods, commercial avenues, and vibrant urban 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5b1ea481909a31a8ed6792ad04 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.