Triple

T22879890
Position Surface form Disambiguated ID Type / Status
Subject Zabbaleen community E567431 entity
Predicate alternativeName P39 FINISHED
Object Zabbalin
Zabbalin are an informal community of garbage collectors in Cairo, Egypt, known for their extensive recycling practices and role in managing the city’s waste.
 E1558678 NE FINISHED

How this triple was built (4 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: Zabbalin | Statement: [Zabbaleen community, alternativeName, Zabbalin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zabbalin
Context triple: [Zabbaleen community, alternativeName, Zabbalin]
  • A. Zabban
    Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
  • B. Zababa
    Zababa is an ancient Mesopotamian war god particularly venerated in the city of Kish.
  • C. Zalba
    Zalba is a locality situated within Tunisia’s Mahdia Governorate, a coastal region in the east-central part of the country.
  • D. Zabdas
    Zabdas was a prominent 3rd-century Palmyrene general who led Queen Zenobia’s forces in major campaigns against the Roman Empire.
  • E. Zabali
    Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zabbalin
Triple: [Zabbaleen community, alternativeName, Zabbalin]
Generated description
Zabbalin are an informal community of garbage collectors in Cairo, Egypt, known for their extensive recycling practices and role in managing the city’s waste.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zabbalin
Target entity description: Zabbalin are an informal community of garbage collectors in Cairo, Egypt, known for their extensive recycling practices and role in managing the city’s waste.
  • A. Zabban
    Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
  • B. Zababa
    Zababa is an ancient Mesopotamian war god particularly venerated in the city of Kish.
  • C. Zalba
    Zalba is a locality situated within Tunisia’s Mahdia Governorate, a coastal region in the east-central part of the country.
  • D. Zabdas
    Zabdas was a prominent 3rd-century Palmyrene general who led Queen Zenobia’s forces in major campaigns against the Roman Empire.
  • E. Zabali
    Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0bae9c5fe481909ac18f8628af83f0 completed May 19, 2026, 12:28 a.m.
NEDg Description generation batch_6a0bafe8692c819094c6e511964f8b2e completed May 19, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb0abb2c481909c1897b302e92579 completed May 19, 2026, 12:36 a.m.
Created at: April 17, 2026, 3:39 p.m.