Triple

T4412926
Position Surface form Disambiguated ID Type / Status
Subject Meydan grandstand complex E94892 entity
Predicate neighborhood P988 FINISHED
Object Nad Al Sheba E442439 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: Nad Al Sheba | Statement: [Meydan grandstand complex, neighborhood, Nad Al Sheba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nad Al Sheba
Context triple: [Meydan grandstand complex, neighborhood, 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. Khor Fakkan
    Khor Fakkan is a coastal city on the Gulf of Oman in the United Arab Emirates, known for its natural harbor, beaches, and scenic mountainous backdrop.
  • C. Ras al-Amud
    Ras al-Amud is a predominantly Palestinian residential neighborhood located on the Mount of Olives in East Jerusalem.
  • D. Al Wajh
    Al Wajh is a coastal town and port on the Red Sea in northwestern Saudi Arabia’s Hejaz region.
  • E. Ras Tanura
    Ras Tanura is a major Saudi Arabian oil port and industrial city on the Persian Gulf, known for its large oil refinery and export facilities.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6374ffbd081908c96847ec2d25cee completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:29 p.m.