Triple

T19901337
Position Surface form Disambiguated ID Type / Status
Subject Terence Mann E478295 entity
Predicate travelsTo P21947 FINISHED
Object Chisholm, 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: Chisholm, Minnesota | Statement: [Terence Mann, travelsTo, Chisholm, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chisholm, Minnesota
Context triple: [Terence Mann, travelsTo, Chisholm, Minnesota]
  • A. Chisholm, Minnesota chosen
    Chisholm, Minnesota is a small city on the Mesabi Iron Range known for its mining history and the Minnesota Discovery Center.
  • B. Chisago City, Minnesota
    Chisago City, Minnesota is a small lakeside community in eastern Minnesota known for its scenic natural surroundings and proximity to the Twin Cities metropolitan area.
  • C. Lindstrom, Minnesota
    Lindstrom, Minnesota is a small city in eastern Minnesota known for its strong Swedish heritage and lakeside community character.
  • D. Isanti, Minnesota
    Isanti, Minnesota is a small city in east-central Minnesota known for its rural character and location within the northern Twin Cities metropolitan area.
  • E. Watertown, Minnesota
    Watertown, Minnesota is a small city in Carver County known for its rural charm, proximity to the Twin Cities metro area, and access to the Crow River and regional parks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65941977081909e2f94724eb2c3c0 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.