Triple

T21098861
Position Surface form Disambiguated ID Type / Status
Subject Glomdal Museum E519839 entity
Predicate nearby P350 FINISHED
Object river Glomma 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: river Glomma | Statement: [Glomdal Museum, nearby, river Glomma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: river Glomma
Context triple: [Glomdal Museum, nearby, river Glomma]
  • 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. Nordalselva
    Nordalselva is a river in the municipality of Åfjord in Trøndelag county, central Norway, known for its natural surroundings and local outdoor recreation.
  • D. Glåma river
    The Glåma river, also known as Glomma, is Norway’s longest and largest river, flowing through eastern Norway from the Trøndelag region to the Oslofjord.
  • E. Saltdalselva
    Saltdalselva is a river in Nordland county, Norway, known for flowing through the Saltdal valley and offering notable salmon fishing and scenic natural landscapes.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5b51608190aa286d89a9d54e9f completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.