Triple

T18320012
Position Surface form Disambiguated ID Type / Status
Subject Meydan City development E438848 entity
Predicate locatedIn P40 FINISHED
Object Nad Al Sheba 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: Nad Al Sheba | Statement: [Meydan City development, locatedIn, Nad Al Sheba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nad Al Sheba
Context triple: [Meydan City development, locatedIn, Nad Al Sheba]
  • A. Nad Al Sheba chosen
    Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
  • B. Ras Al Khair
    Ras Al Khair is an industrial city on Saudi Arabia’s eastern coast, known for its major mining, minerals processing, and maritime industries.
  • C. Al Ras
    Al Ras is one of Dubai’s oldest commercial districts, known for its traditional markets, historic streets, and proximity to Dubai Creek.
  • D. Al Nairyah
    Al Nairyah is a town in Saudi Arabia located in the kingdom’s oil-rich Eastern Province.
  • E. Dibba Al-Baya
    Dibba Al-Baya is a coastal town in northern Oman, known for its location on the Gulf of Oman near the UAE border and its traditional fishing and maritime heritage.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa4d3308190883714e1ef6a1d84 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.