Triple

T4714462
Position Surface form Disambiguated ID Type / Status
Subject Freeway Face-Off E104597 entity
Predicate notableBecause P22 FINISHED
Object features two Stanley Cup–winning franchises 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: features two Stanley Cup–winning franchises | Statement: [Freeway Face-Off, notableBecause, features two Stanley Cup–winning franchises]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableBecause
Context triple: [Freeway Face-Off, notableBecause, features two Stanley Cup–winning franchises]
  • A. notableFor chosen
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • B. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • C. notableFact
    Indicates that there exists a particularly significant or noteworthy fact or piece of information associated with the subject.
  • D. notableSingle
    Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
  • E. subjectNotableFor
    Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd680beb508190b3d74e20e1c64405 completed March 20, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69bd621ddcd88190903288566f5e5dab completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:18 p.m.