Triple

T16423030
Position Surface form Disambiguated ID Type / Status
Subject Muttrah E398866 entity
Predicate hasFeature P182 FINISHED
Object Muttrah Souq E89431 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: Muttrah Souq | Statement: [Muttrah, hasFeature, Muttrah Souq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muttrah Souq
Context triple: [Muttrah, hasFeature, Muttrah Souq]
  • A. Muttrah Souq chosen
    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.
  • B. 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.
  • C. Manama Souq
    Manama Souq is a traditional marketplace in Bahrain’s capital, known for its narrow alleys, historic architecture, and shops selling spices, textiles, jewelry, and local handicrafts.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f911b88190b19de52a1f700af8 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c70aaa08190bf88210c0b491fc1 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.