Triple

T37666919
Position Surface form Disambiguated ID Type / Status
Subject City of Fountain City, Wisconsin E937842 entity
Predicate isLocatedInInfluenceAreaOf P2828 FINISHED
Object Winona, 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: Winona, Minnesota | Statement: [City of Fountain City, Wisconsin, isLocatedInInfluenceAreaOf, Winona, Minnesota]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLocatedInInfluenceAreaOf
Context triple: [City of Fountain City, Wisconsin, isLocatedInInfluenceAreaOf, Winona, Minnesota]
  • A. hasRegionalInfluenceFrom
    Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
  • B. hasInfluenceScope
    Indicates the range or extent within which an entity’s influence, impact, or authority is effective or applicable.
  • C. isUnderInfluenceOf
    Indicates that one entity is affected, controlled, or significantly shaped by the power, authority, or effect of another entity.
  • D. mainTerritoryOfInfluence
    Indicates the primary geographic area where an entity exerts the most significant control, impact, or influence.
  • E. sphereOfInfluence chosen
    Indicates the area or domain within which an entity exerts significant control, impact, or authority over others.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd3a69f1e08190a11aed015bff0858 completed May 8, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69fd39124180819080ca7911d3515d6d completed May 8, 2026, 1:14 a.m.
Created at: May 3, 2026, 4:18 p.m.