Triple

T11477789
Position Surface form Disambiguated ID Type / Status
Subject Henry Boucha E272066 entity
Predicate placeOfBirth P1 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: [Henry Boucha, placeOfBirth, Warroad, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warroad, Minnesota
Context triple: [Henry Boucha, placeOfBirth, Warroad, Minnesota]
  • A. Keewatin, Minnesota
    Keewatin, Minnesota is a small city on the Iron Range in northern Minnesota known historically for its taconite mining industry.
  • B. 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.
  • C. Eveleth, Minnesota
    Eveleth, Minnesota is a small city in northeastern Minnesota known historically for its iron mining industry and as part of the state’s Iron Range.
  • D. Wadena, Minnesota
    Wadena, Minnesota is a small city in central Minnesota known as a regional hub for agriculture, commerce, and transportation.
  • E. Warroad
    Warroad is a small northern Minnesota city near the Canadian border, known for its strong hockey tradition and access to Lake of the Woods.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e713488c7c81908d97d249af770603 completed April 21, 2026, 6:03 a.m.
Created at: April 8, 2026, 9:36 p.m.