Triple

T9774404
Position Surface form Disambiguated ID Type / Status
Subject 2007 Rugby World Cup E237209 entity
Predicate ballUsed P3186 FINISHED
Object Gilbert Synergie E237211 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: Gilbert Synergie | Statement: [2007 Rugby World Cup, ballUsed, Gilbert Synergie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilbert Synergie
Context triple: [2007 Rugby World Cup, ballUsed, Gilbert Synergie]
  • A. Gilbert chosen
    Gilbert is a renowned sports equipment manufacturer best known for producing high-quality rugby balls used in major international competitions.
  • B. Gilbert
    Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
  • C. Gilbert
    Gilbert is a masculine given name of Norman-French origin that has been borne by various notable figures, including philosophers, writers, and entertainers.
  • D. Gillett
    Gillett is an English-language surname borne by various notable individuals across politics, sports, and the arts.
  • E. Nielsen Hayden
    Nielsen Hayden is the hyphenated surname of the prominent science fiction editor and blogger Patrick Nielsen Hayden.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda13148288190bcbb3b4a066d9fc1 completed April 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd18542881908860f9e8e3927f23 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.