Triple

T4441064
Position Surface form Disambiguated ID Type / Status
Subject Kindergarten Cop E95770 entity
Predicate filmingLocation P40 FINISHED
Object Oregon E1778 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: Oregon | Statement: [Kindergarten Cop, filmingLocation, Oregon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oregon
Context triple: [Kindergarten Cop, filmingLocation, Oregon]
  • A. Oregon chosen
    Oregon is a U.S. state in the Pacific Northwest known for its diverse landscapes, including rugged coastline, dense forests, mountains, and high desert, as well as its environmentally conscious culture.
  • B. Oregon
    Oregon is a village in Dane County, Wisconsin, known as a residential community just south of Madison.
  • C. Oregon and Washington
    Oregon and Washington are neighboring U.S. states in the Pacific Northwest, known for their shared border along the Columbia River and their diverse landscapes of coastline, forests, mountains, and high desert.
  • D. Washington
    Washington is a U.S. state in the Pacific Northwest known for its diverse landscapes, technology industry centered around Seattle, and significant cultural and economic influence on the West Coast.
  • E. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ad71588190b1dcad4250472c29 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6135919d08190abab3858ff01bf11 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.