Triple

T20813921
Position Surface form Disambiguated ID Type / Status
Subject Omega Dubai Ladies Masters E512385 entity
Predicate sponsor P67 FINISHED
Object Omega SA 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: Omega SA | Statement: [Omega Dubai Ladies Masters, sponsor, Omega SA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omega SA
Context triple: [Omega Dubai Ladies Masters, sponsor, Omega SA]
  • A. Omega SA chosen
    Omega SA is a Swiss luxury watchmaker renowned for its precision timepieces, Olympic timekeeping, and association with high-profile athletes and events.
  • B. Total S.A.
    Total S.A. was the former name of TotalEnergies, a major French multinational energy company involved in oil, gas, and increasingly renewable energy.
  • C. Vialco
    Vialco was an aluminum production company that became part of Norsk Hydro’s global metals operations through acquisition.
  • D. Orange S.A.
    Orange S.A. is a major French multinational telecommunications corporation providing mobile, internet, and other digital services across Europe, Africa, and the Middle East.
  • E. Gaviota S.A.
    Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
  • 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d4e43c8190aecce82a3f7e2de0 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.