Triple

T10416306
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Deltas E245523 entity
Predicate wonTitle P11 FINISHED
Object Soccer Bowl 2017 E191785 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: Soccer Bowl 2017 | Statement: [San Francisco Deltas, wonTitle, Soccer Bowl 2017]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soccer Bowl 2017
Context triple: [San Francisco Deltas, wonTitle, Soccer Bowl 2017]
  • A. Soccer Bowl chosen
    Soccer Bowl is the championship match that determined the season winner of the modern North American Soccer League.
  • B. HarBowl
    HarBowl is the popular nickname for Super Bowl XLVII, which featured a historic matchup between head coach brothers Jim and John Harbaugh.
  • C. Rush Soccer
    Rush Soccer is a global youth soccer organization and club network known for developing players through standardized training programs and affiliated teams across multiple countries.
  • D. Stupor Bowl
    Stupor Bowl is a derisive nickname for Super Bowl V, reflecting its reputation as a poorly played, mistake-filled championship game.
  • E. Blunder Bowl
    Blunder Bowl is a derisive nickname for Super Bowl V, remembered for its unusually high number of turnovers and mistakes despite being a championship game.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea108fec8190819423630888fa2b completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc0dd480819082edcc49a245ad4f completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:10 p.m.