Triple

T4670155
Position Surface form Disambiguated ID Type / Status
Subject Gudbrandsdalslågen E102941 entity
Predicate tributaryOf P415 FINISHED
Object Vorma E421021 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: Vorma | Statement: [Gudbrandsdalslågen, tributaryOf, Vorma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vorma
Context triple: [Gudbrandsdalslågen, tributaryOf, Vorma]
  • A. Vorma chosen
    Vorma is a river in southeastern Norway that flows from Lake Mjøsa to the Glomma River and passes through the town of Eidsvoll.
  • B. Osen
    Osen is a small coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing traditions, and scenic natural landscapes.
  • C. Formoza
    Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
  • D. Zima
    Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
  • E. Cheremule
    Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd634ef5608190925663e988e3585b completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0390c238819089fb54648dfe1e64 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.