Triple

T5846594
Position Surface form Disambiguated ID Type / Status
Subject Fort Frances E129725 entity
Predicate hasNearbyUSState P9432 FINISHED
Object Minnesota E33799 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: Minnesota | Statement: [Fort Frances, hasNearbyUSState, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesota
Context triple: [Fort Frances, hasNearbyUSState, Minnesota]
  • A. Minnesota chosen
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • B. D. Minn.
    D. Minn. is the standard legal abbreviation for the United States District Court for the District of Minnesota, a federal trial court within the Eighth Circuit.
  • C. Minnesota and Wisconsin
    Minnesota and Wisconsin are two neighboring U.S. states in the Upper Midwest, known for their abundant lakes, forests, and shared border along the upper Mississippi River.
  • D. Iowa
    Iowa is a Midwestern U.S. state known for its extensive agriculture, especially corn and soybean production, and its role in national politics through the Iowa caucuses.
  • E. Wisconsin
    Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyUSState
Context triple: [Fort Frances, hasNearbyUSState, Minnesota]
  • A. nearbyState
    Indicates that one state is geographically adjacent to or in close proximity to another state.
  • B. nearestMainlandState chosen
    Indicates the relationship where a given location is associated with the closest U.S. mainland state in terms of geographic proximity.
  • C. hasNeighboringStateToWest
    Indicates that one state is geographically located directly to the west of another state, sharing a common border.
  • D. isInUSState
    Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
  • E. nearByCityState
    Indicates that a city is geographically close to or within the same general area as a specified state.
  • F. None of above.

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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0fb0f68819091018926ee4c7bb8 completed March 23, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:55 p.m.