Triple

T12823249
Position Surface form Disambiguated ID Type / Status
Subject Doha Corniche E306583 entity
Predicate hasNearby P350 FINISHED
Object Souq Waqif E68114 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: Souq Waqif | Statement: [Doha Corniche, hasNearby, Souq Waqif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Souq Waqif
Context triple: [Doha Corniche, hasNearby, Souq Waqif]
  • A. Souq Waqif chosen
    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.
  • 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. Muttrah Souq
    Muttrah Souq is a historic, maze-like traditional market in Muscat, Oman, renowned for its bustling atmosphere and stalls selling spices, textiles, jewelry, and handicrafts.
  • E. 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.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed337248190a007fe18c6379910 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:32 p.m.