Triple

T13153611
Position Surface form Disambiguated ID Type / Status
Subject Afton Alps Ski Area E312526 entity
Predicate locatedInOrNear P40 FINISHED
Object Afton, Minnesota E303940 NE 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: Afton, Minnesota | Statement: [Afton Alps Ski Area, locatedInOrNear, Afton, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afton, Minnesota
Context triple: [Afton Alps Ski Area, locatedInOrNear, Afton, Minnesota]
  • A. Afton, Minnesota chosen
    Afton, Minnesota is a small city along the St. Croix River known for its scenic rural character, outdoor recreation, and proximity to the Afton Alps ski area.
  • B. Aitkin, Minnesota
    Aitkin, Minnesota is a small city in Aitkin County known historically as a logging and railroad hub in central Minnesota.
  • C. Eitzen, Minnesota
    Eitzen, Minnesota is a small city located in southeastern Minnesota near the Iowa border.
  • D. Alden, Minnesota
    Alden, Minnesota is a small rural city located in southern Minnesota within Freeborn County.
  • E. Keewatin, Minnesota
    Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaee8aa0819089994b85d56c7740 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.