Triple

T13263357
Position Surface form Disambiguated ID Type / Status
Subject Lake Wobegon E315854 entity
Predicate locatedIn P40 FINISHED
Object Minnesota (fictional setting) E33799 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: Minnesota (fictional setting) | Statement: [Lake Wobegon, locatedIn, Minnesota (fictional setting)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minnesota (fictional setting)
Context triple: [Lake Wobegon, locatedIn, Minnesota (fictional setting)]
  • 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. Minnesota
    Minnesota is an American hip hop record producer known for his work with prominent rap artists in the 1990s and 2000s.
  • C. Minnesota
    Minnesota is an American electronic music producer and DJ known for his melodic, bass-heavy dubstep and festival performances.
  • D. 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.
  • E. Nowthen, Minnesota
    Nowthen, Minnesota is a small rural city in Anoka County known for its agricultural character and quiet residential community north of the Twin Cities metropolitan area.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a48bc488190a5cf692d81bdcbba completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.