Triple

T15302588
Position Surface form Disambiguated ID Type / Status
Subject Kvinnherad E365824 entity
Predicate hasPart P35 FINISHED
Object Sæbøvik
Sæbøvik is a small village in western Norway located within the municipality of Kvinnherad in Vestland county.
E1182236 NE FINISHED

How this triple was built (4 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: Sæbøvik | Statement: [Kvinnherad, hasPart, Sæbøvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sæbøvik
Context triple: [Kvinnherad, hasPart, Sæbøvik]
  • A. Bøelva
    Bøelva is a river in Telemark, Norway, known for flowing through the Bø area before emptying into the large lake Norsjø.
  • B. Sørenga
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • C. Håkvik
    Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
  • D. Kjeldebotn
    Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
  • E. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sæbøvik
Triple: [Kvinnherad, hasPart, Sæbøvik]
Generated description
Sæbøvik is a small village in western Norway located within the municipality of Kvinnherad in Vestland county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sæbøvik
Target entity description: Sæbøvik is a small village in western Norway located within the municipality of Kvinnherad in Vestland county.
  • A. Bøelva
    Bøelva is a river in Telemark, Norway, known for flowing through the Bø area before emptying into the large lake Norsjø.
  • B. Sørenga
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • C. Håkvik
    Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
  • D. Kjeldebotn
    Kjeldebotn is a small village in northern Norway that forms part of the municipality of Ballangen in Nordland county.
  • E. Gressvik
    Gressvik is a village in Fredrikstad Municipality in Viken county, Norway, located on the western side of the Glomma River.
  • F. None of above. chosen

Provenance (5 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02f505c81908e3982b67456e81c completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb0be9fa88190ab691c4c1d845ea9 completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb12f3e4c8190be983f00ae1d5160 completed May 9, 2026, 10:11 p.m.
Created at: April 10, 2026, 3:15 a.m.