Triple

T18622496
Position Surface form Disambiguated ID Type / Status
Subject Souk El Berka E455189 entity
Predicate nameInArabicScript P6450 FINISHED
Object سوق البركة 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: سوق البركة | Statement: [Souk El Berka, nameInArabicScript, سوق البركة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: سوق البركة
Context triple: [Souk El Berka, nameInArabicScript, سوق البركة]
  • A. The Marketplace
    The Marketplace is a casual dining venue located inside Rivers Casino Des Plaines, offering a variety of quick-service food options to casino guests.
  • B. The Marketplace chosen
    The Marketplace is a central commercial area where vendors and shoppers gather for buying and selling goods and services.
  • C. The Mart
    The Mart is a massive commercial building in Chicago, historically known as the Merchandise Mart, that serves as a major hub for wholesale showrooms, offices, and design centers.
  • D. Lakeside
    Lakeside is a suburban community in San Diego County, California, known for its semi-rural character and proximity to reservoirs and outdoor recreation areas.
  • E. Lakeside
    Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f020fa08190bd78d72182496b19 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.