Triple

T20798283
Position Surface form Disambiguated ID Type / Status
Subject Trønderbanen E511970 entity
Predicate hasStation P35 FINISHED
Object Røra 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: Røra | Statement: [Trønderbanen, hasStation, Røra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Røra
Context triple: [Trønderbanen, hasStation, Røra]
  • A. Røra chosen
    Røra is a small village in the municipality of Inderøy in Trøndelag county, Norway, known for its rural setting and local food industry.
  • B. Brårud
    Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
  • C. Nadderud
    Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
  • D. Sørenga
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • E. Søråa
    Søråa is a river located in the Namdalen district of Trøndelag county in central Norway.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ae2c4c819087f620df31dc1aba completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.