Triple

T6019373
Position Surface form Disambiguated ID Type / Status
Subject Oslo county E134025 entity
Predicate hasRiver P165 FINISHED
Object Akerselva E545577 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: Akerselva | Statement: [Oslo county, hasRiver, Akerselva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akerselva
Context triple: [Oslo county, hasRiver, Akerselva]
  • A. Akerselva river chosen
    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.
  • B. Drammenselva
    Drammenselva is a major river in southeastern Norway known for its historical timber floating, hydroelectric power production, and salmon fishing.
  • C. Lysakerelva
    Lysakerelva is a river in the Oslo area of Norway that forms part of the boundary between the municipalities of Oslo and Bærum and is known for its waterfalls, hiking paths, and historical industrial sites.
  • D. Børselva
    Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
  • E. Verdalselva
    Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f86efec8190bc357dddf6ebb4a9 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1136da26081909b753fa8a2a91084 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:07 p.m.