Triple

T35426173
Position Surface form Disambiguated ID Type / Status
Subject Tri-City Dust Devils E1023925 entity
Predicate usesBallparkNameRightsSponsor P98623 FINISHED
Object Gesa Credit Union
Gesa Credit Union is a Washington-based member-owned financial cooperative that provides banking and lending services to individuals and businesses.
 E2139989 NE FINISHED

How this triple was built (3 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: Gesa Credit Union | Statement: [Tri-City Dust Devils, usesBallparkNameRightsSponsor, Gesa Credit Union]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gesa Credit Union
Triple: [Tri-City Dust Devils, usesBallparkNameRightsSponsor, Gesa Credit Union]
Generated description
Gesa Credit Union is a Washington-based member-owned financial cooperative that provides banking and lending services to individuals and businesses.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usesBallparkNameRightsSponsor
Context triple: [Tri-City Dust Devils, usesBallparkNameRightsSponsor, Gesa Credit Union]
  • A. ballparkNameSponsor chosen
    Indicates that a particular sponsor is the naming-rights sponsor for a ballpark.
  • B. hasBallpark
    Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
  • C. usesBallparkFor
    Indicates that one entity makes use of a particular ballpark facility for its activities or events.
  • D. ballparkAlsoKnownAs
    Indicates that a ballpark is referred to by an alternative name or alias.
  • E. usesBallparksIn
    Indicates that one entity makes use of or operates within specific ballparks located in a particular place or context.
  • F. None of above.

Provenance (6 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_69f76df6704081909900c60be10d5849 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f795933588819082ba3c1716b05d63 completed May 3, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836b93aac81909d8d794ab50edb43 completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a3837f7f834819089531e36e7d792fb completed June 21, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_6a3838c21c348190a4d91c24b04201e8 completed June 21, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f7910770108190bdd39ddb5d304f54 completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.