Triple

T4982500
Position Surface form Disambiguated ID Type / Status
Subject Bur Dubai E111918 entity
Predicate hasMarket P2714 FINISHED
Object Textile Souk E485658 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: Textile Souk | Statement: [Bur Dubai, hasMarket, Textile Souk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Textile Souk
Context triple: [Bur Dubai, hasMarket, Textile Souk]
  • A. Textile Souk chosen
    Textile Souk is a traditional market in Dubai known for its narrow lanes lined with shops selling colorful fabrics, garments, and souvenirs.
  • B. Souq Al-Mubarakiya
    Souq Al-Mubarakiya is one of Kuwait’s oldest traditional markets, known for its historic architecture, local foods, spices, textiles, and vibrant cultural atmosphere.
  • C. Al-Madina Souq
    Al-Madina Souq is a historic covered market in Aleppo, Syria, renowned as one of the largest and oldest traditional bazaars in the Middle East.
  • D. Al-Hamidiyah Souq
    Al-Hamidiyah Souq is a historic, covered marketplace in the Old City of Damascus, renowned for its long vaulted arcade, traditional shops, and role as a major commercial and social hub in Syria.
  • E. Souq Waqif
    Souq Waqif is a historic traditional market in Doha, Qatar, known for its restored Qatari architecture, bustling alleys of shops and restaurants, and vibrant cultural 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd725489bc81908f660332e25f29cf completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be924f11c88190abe6263bf11b848c completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:33 p.m.