Triple

T18918680
Position Surface form Disambiguated ID Type / Status
Subject Al Ahmadiya School E462787 entity
Predicate nearbyAttraction P3449 FINISHED
Object Gold Souk 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: Gold Souk | Statement: [Al Ahmadiya School, nearbyAttraction, Gold Souk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gold Souk
Context triple: [Al Ahmadiya School, nearbyAttraction, Gold Souk]
  • A. Gold Souq
    Gold Souq is a traditional market area in Doha renowned for its numerous shops selling gold jewelry and other precious ornaments.
  • B. Dubai Gold Souk chosen
    Dubai Gold Souk is a famous traditional market in Dubai renowned for its dense concentration of shops selling gold, jewelry, and precious stones.
  • C. Souq Al Majarrah
    Souq Al Majarrah was a traditional waterfront market building in Sharjah that was later converted into the Sharjah Museum of Islamic Civilization.
  • D. Souq al-Attarin
    Souq al-Attarin is a traditional spice and perfume market located within the historic Al-Madina Souq, known for its aromatic goods and bustling commercial atmosphere.
  • E. Souq al-Tawil
    Souq al-Tawil is a traditional covered market section within Al-Madina Souq, known for its historic architecture and concentration of local shops and traders.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c629527481909dad169f07df0da4 completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:59 a.m.