Triple

T9421443
Position Surface form Disambiguated ID Type / Status
Subject Lysakerelva E227159 entity
Predicate hasValleyName P650 FINISHED
Object Lysakerelvdalen E227159 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: Lysakerelvdalen | Statement: [Lysakerelva, hasValleyName, Lysakerelvdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysakerelvdalen
Context triple: [Lysakerelva, hasValleyName, Lysakerelvdalen]
  • A. Målselvdalen
    Målselvdalen is a scenic river valley in Troms, northern Norway, known for its agricultural landscape, surrounding mountains, and the Målselva river running through it.
  • B. Lysakerelva chosen
    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.
  • C. Sørkedalen
    Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
  • D. Orkdalen
    Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
  • E. Lærdal
    Lærdal is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, historic wooden architecture, and the UNESCO-listed Nærøyfjord area nearby.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2651c48190808281779fab49df completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107c95c9481909957b99cacf5e045 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.