Triple

T9421539
Position Surface form Disambiguated ID Type / Status
Subject Lysaker Bridge E227162 entity
Predicate riverCrossingOf P1970 FINISHED
Object Lysaker River 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: Lysaker River | Statement: [Lysaker Bridge, riverCrossingOf, Lysaker River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysaker River
Context triple: [Lysaker Bridge, riverCrossingOf, Lysaker River]
  • A. Porsgrunn River
    The Porsgrunn River is a waterway in Telemark county, Norway, flowing through the town of Porsgrunn as part of the larger Skienselva river system.
  • B. Orkla River
    The Orkla River is a major river in Trøndelag, central Norway, known for flowing through the Orkdalen valley and for its historically important salmon fisheries and hydropower resources.
  • C. Arve River
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • D. Blavet River
    The Blavet River is a waterway in Brittany, northwestern France, that flows into the Atlantic Ocean near the port city of Lorient.
  • E. 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.
  • 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_69d139d4e660819099ec1ffd6c8d3305 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:48 p.m.