Triple

T12707909
Position Surface form Disambiguated ID Type / Status
Subject Onsøy E303635 entity
Predicate adjacentTo P224 FINISHED
Object Glomma river E96298 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: Glomma river | Statement: [Onsøy, adjacentTo, Glomma river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glomma river
Context triple: [Onsøy, adjacentTo, Glomma river]
  • A. Glomma chosen
    Glomma is Norway’s longest and largest river, flowing through Eastern Norway before emptying into the Oslofjord.
  • B. Drammenselva
    Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
  • C. Stjørdalselva
    Stjørdalselva is a river in Trøndelag county, Norway, known for flowing through the Stjørdal valley and being a popular destination for salmon fishing.
  • D. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • E. Akerselva river
    Akerselva river is a historically significant river in Oslo, Norway, known for its former industrial sites, scenic walking paths, and role as a natural boundary between city districts.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620663e881908d367170ed6d2c81 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e43424819080659ab152caae52 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:23 p.m.