Triple

T17727100
Position Surface form Disambiguated ID Type / Status
Subject Glåma E442490 entity
Predicate flowsThrough P225 FINISHED
Object Årnes E446461 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: Årnes | Statement: [Glåma, flowsThrough, Årnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Årnes
Context triple: [Glåma, flowsThrough, Årnes]
  • A. Årnes chosen
    Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
  • B. Norddal
    Norddal is a small village and former municipality in Møre og Romsdal county in western Norway, situated in the Sunnmøre region.
  • C. Ørskog
    Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
  • D. Klemetsrud
    Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • E. Brårud
    Brårud is a small village located within the municipality of Nes in Akershus county, Norway.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e3cb708190b47456ad2008a65e completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0815e456ec8190986280b85fc017c7 completed May 16, 2026, 6:59 a.m.
Created at: April 10, 2026, 10:07 a.m.