Triple

T30592447
Position Surface form Disambiguated ID Type / Status
Subject 1981 Stanley Cup Finals E778696 entity
Predicate cityRunnerUpVenue P169595 FINISHED
Object Bloomington, Minnesota NE NERFINISHED

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: Bloomington, Minnesota | Statement: [1981 Stanley Cup Finals, cityRunnerUpVenue, Bloomington, Minnesota]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityRunnerUpVenue
Context triple: [1981 Stanley Cup Finals, cityRunnerUpVenue, Bloomington, Minnesota]
  • A. CAFSpots
    Indicates that an entity has designated spots or locations associated with a CAF (such as specific areas, positions, or markers linked to that CAF).
  • B. earlyVenue
    Indicates that an event or activity takes place at a venue earlier than a standard, expected, or comparative time.
  • C. typicalVenueMetroArea
    Indicates the metropolitan area where an entity is most commonly or characteristically located or hosted.
  • D. isCentralVenueOf
    Indicates that a venue serves as the primary or main location for a specified event, organization, or activity.
  • E. typicalVenues
    Indicates that the specified locations are common or standard places where the associated activity, event, or entity usually occurs or is hosted.
  • F. None of above. chosen

Provenance (4 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_69f224a1570c8190a85d3ac330479a79 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6897bc52481908122b1af6cb45526 completed May 2, 2026, 11:32 p.m.
PD Predicate disambiguation batch_69f67e448a9c8190b591374d98799fe3 completed May 2, 2026, 10:44 p.m.
PDg Predicate description generation batch_69f67f0353c88190a05b2db449abe0f4 completed May 2, 2026, 10:47 p.m.
Created at: April 29, 2026, 8:24 p.m.