Triple

T14601579
Position Surface form Disambiguated ID Type / Status
Subject Ringsaker E342716 entity
Predicate hasSettlement P1068 FINISHED
Object Nes E537555 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: Nes | Statement: [Ringsaker, hasSettlement, Nes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nes
Context triple: [Ringsaker, hasSettlement, 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 web server software product developed by Netscape for hosting and managing websites and web applications.
  • D. NES
    NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
  • E. Thisnes
    Thisnes is a village in the municipality of Hannut in the province of Liège, Belgium.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.