Triple

T4412892
Position Surface form Disambiguated ID Type / Status
Subject Thunder Snow E94891 entity
Predicate damsire P56417 FINISHED
Object Dubai Destination E436930 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: Dubai Destination | Statement: [Thunder Snow, damsire, Dubai Destination]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubai Destination
Context triple: [Thunder Snow, damsire, Dubai Destination]
  • A. Dubai Destination chosen
    Dubai Destination is a British-bred Thoroughbred racehorse best known for winning the Group 1 Queen Anne Stakes at Royal Ascot in 2003 and later becoming a successful stallion.
  • B. Dubai
    Dubai is a major global city in the United Arab Emirates known for its rapid development, luxury tourism, and status as a regional business and financial hub.
  • C. Downtown Dubai
    Downtown Dubai is a modern, upscale mixed-use district in Dubai known for its iconic skyline, luxury shopping, and major attractions such as the Burj Khalifa and The Dubai Mall.
  • D. Dubai Tour
    The Dubai Tour was a professional multi-stage road cycling race held annually in Dubai, United Arab Emirates, attracting top international riders and teams.
  • E. New Dubai
    New Dubai is a modern, upscale area of Dubai characterized by high-rise waterfront developments, luxury residences, and major commercial and leisure hubs along the city’s southwestern coast.
  • 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_69b35640269c8190a88fc6b59070561b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136465c48190a5bdab81fe1438c4 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:29 p.m.