Triple

T1652288
Position Surface form Disambiguated ID Type / Status
Subject Lake of the Woods E35717 entity
Predicate hasNearbyCity P350 FINISHED
Object Warroad, Minnesota E53292 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: Warroad, Minnesota | Statement: [Lake of the Woods, hasNearbyCity, Warroad, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warroad, Minnesota
Context triple: [Lake of the Woods, hasNearbyCity, Warroad, Minnesota]
  • A. Warroad, Minnesota, United States chosen
    Warroad, Minnesota, United States is a small northern town near the Canadian border known for its strong ice hockey tradition and producing elite players.
  • B. Moorhead, Minnesota
    Moorhead, Minnesota is a city in northwestern Minnesota located along the Red River of the North, forming part of the Fargo–Moorhead metropolitan area.
  • C. Aitkin
    Aitkin is a variant spelling of the surname Aitken, which is of Scottish origin.
  • D. Bismarck, North Dakota
    Bismarck, North Dakota is the state capital and a regional economic and cultural center located in central North Dakota.
  • E. Grand Forks, North Dakota
    Grand Forks, North Dakota is a city in the northeastern part of the state known for its Air Force base, regional university, and role as a strategic military and economic center in the Upper Midwest.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a88cb108190a836b972f600c257 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ac133881909222b25029096407 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:29 p.m.