Triple

T15091970
Position Surface form Disambiguated ID Type / Status
Subject Eidsvoll municipality E360441 entity
Predicate administrativeCentre P1474 FINISHED
Object Sundet
Sundet is the main town and local hub of Eidsvoll municipality in Norway, serving as its commercial and service center.
E1137630 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: Sundet | Statement: [Eidsvoll municipality, administrativeCentre, Sundet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sundet
Context triple: [Eidsvoll municipality, administrativeCentre, Sundet]
  • A. Nesset
    Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
  • B. Strond
    Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
  • C. Vikersund
    Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
  • D. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • E. Skutvik
    Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
  • 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: Sundet
Triple: [Eidsvoll municipality, administrativeCentre, Sundet]
Generated description
Sundet is the main town and local hub of Eidsvoll municipality in Norway, serving as its commercial and service center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sundet
Target entity description: Sundet is the main town and local hub of Eidsvoll municipality in Norway, serving as its commercial and service center.
  • A. Nesset
    Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
  • B. Strond
    Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
  • C. Vikersund
    Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
  • D. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • E. Skutvik
    Skutvik is a small coastal village in Hamarøy Municipality in Nordland county, Norway, known as a ferry port linking the mainland with the Lofoten Islands.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1f406081909d4925474370da86 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb2e869808190b691d95531dc7447 completed May 9, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_69feb3a61e008190aff906cae172a744 completed May 9, 2026, 4:10 a.m.
Created at: April 10, 2026, 3:04 a.m.