Triple

T18381567
Position Surface form Disambiguated ID Type / Status
Subject Årnes E446461 entity
Predicate municipality P852 FINISHED
Object Nes 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: Nes | Statement: [Årnes, municipality, Nes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nes
Context triple: [Årnes, municipality, Nes]
  • A. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • B. Nes chosen
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • C. Nes
    Nes is a village on the Dutch Wadden Sea island of Ameland, known for its historic center and coastal tourism.
  • D. NES
    NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
  • E. NES
    NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179b60f88190adf39e85375bd11b completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.