Triple

T20250447
Position Surface form Disambiguated ID Type / Status
Subject Gvarv E498536 entity
Predicate nearbyWaterBody P1094 FINISHED
Object Sauarelva NE NERFINISHED

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: Sauarelva | Statement: [Gvarv, nearbyWaterBody, Sauarelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauarelva
Context triple: [Gvarv, nearbyWaterBody, Sauarelva]
  • A. Sauarelva chosen
    Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • B. Leirelva
    Leirelva is a river in Nordland county, Norway, that flows through the municipality of Hemnes.
  • C. Hunnselva
    Hunnselva is a river in Innlandet county, Norway, flowing through the town of Raufoss and contributing to the local industrial and natural landscape.
  • D. Svelgselva
    Svelgselva is a river located in the municipality of Bremanger in Vestland county, western Norway, known for flowing through a rugged coastal landscape.
  • E. Flisaelva
    Flisaelva is a river in Innlandet county in eastern Norway that flows through the municipality of Åsnes and is part of the larger Glomma river system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a79a208190a5a7c0f6515bc393 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.