Triple

T1736813
Position Surface form Disambiguated ID Type / Status
Subject America's Team E37937 entity
Predicate associatedWithChampionships P313 FINISHED
Object multiple Super Bowl titles LITERAL 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: multiple Super Bowl titles | Statement: [America's Team, associatedWithChampionships, multiple Super Bowl titles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithChampionships
Context triple: [America's Team, associatedWithChampionships, multiple Super Bowl titles]
  • A. hasChampionships chosen
    Indicates that one entity possesses or has won one or more championships associated with another entity.
  • B. associatedWithCompetition
    Indicates that there is a relationship or involvement between an entity and a specific competition or competitive event.
  • C. championshipRecognition
    Indicates formal acknowledgment that an entity has won or holds a championship title in a given competition or domain.
  • D. supportsChampionshipsOf
    Indicates that one entity provides backing, resources, or endorsement for the championships associated with another entity.
  • E. championshipFor
    Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
  • F. None of above.

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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab3c2559ac8190905186406fcaccb9 completed March 6, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69aa61c4023c819099cbe439aefda71f completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.