Triple

T5052701
Position Surface form Disambiguated ID Type / Status
Subject Burj Park E113823 entity
Predicate nearbyAttraction P3449 FINISHED
Object Souk Al Bahar E113824 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: Souk Al Bahar | Statement: [Burj Park, nearbyAttraction, Souk Al Bahar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Souk Al Bahar
Context triple: [Burj Park, nearbyAttraction, Souk Al Bahar]
  • A. Souk Al Bahar chosen
    Souk Al Bahar is a traditional-style Arabian marketplace and dining destination in Downtown Dubai, known for its waterfront views of the Burj Khalifa and Dubai Fountain.
  • 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 Shindagha
    Al Shindagha is a historic waterfront district in Dubai, United Arab Emirates, known as one of the city’s oldest neighborhoods and a key heritage and cultural area.
  • D. Al Wakrah Souq
    Al Wakrah Souq is a traditional seaside market in Al Wakrah, Qatar, known for its restored architecture, waterfront promenade, and mix of shops, cafes, and cultural attractions.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7428d7a88190b990aedae390acbe completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea486b394819082ea80694843b29e completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:38 p.m.