Triple

T8320191
Position Surface form Disambiguated ID Type / Status
Subject Grandstand Stadium E194810 entity
Predicate event P1664 FINISHED
Object US Open E45029 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: US Open | Statement: [Grandstand Stadium, event, US Open]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US Open
Context triple: [Grandstand Stadium, event, US Open]
  • A. US Open (tennis) chosen
    The US Open (tennis) is one of the four Grand Slam tournaments, a major annual hard-court championship that attracts the world’s top professional players.
  • B. U.S. Open
    The U.S. Open is one of golf’s four major championships, organized annually by the United States Golf Association and known for its challenging course setups and elite international field.
  • C. Australian Open
    The Australian Open is one of tennis's four Grand Slam tournaments, held annually in Melbourne and known for its hard courts and intense summer conditions.
  • D. ANA Open
    ANA Open is a professional men's golf tournament held in Japan and one of the prominent events on the Japan Golf Tour.
  • E. Canadian Open
    The Canadian Open is a prestigious annual professional tennis tournament in Canada that attracts many of the world's top players and is part of both the ATP and WTA tours.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f6686a0819094abc2bfd2e500a5 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0278b9a88190a57a6b1b31c39ee8 completed April 2, 2026, 5:45 a.m.
Created at: March 30, 2026, 5:55 p.m.