Triple

T10428040
Position Surface form Disambiguated ID Type / Status
Subject Rygge E245836 entity
Predicate administrativeCentre P1474 FINISHED
Object Ryggebyen
Ryggebyen is a small urban settlement in Østfold, Norway, functioning as the main local hub for services and administration in the Rygge area.
 E862857 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: Ryggebyen | Statement: [Rygge, administrativeCentre, Ryggebyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ryggebyen
Context triple: [Rygge, administrativeCentre, Ryggebyen]
  • A. Nadderud
    Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
  • B. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • C. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • D. Nesbyen
    Nesbyen is a small town and municipality in southeastern Norway known for its inland valley setting, historic wooden buildings, and notably warm summer temperatures.
  • E. Nordingrå
    Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
  • 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: Ryggebyen
Triple: [Rygge, administrativeCentre, Ryggebyen]
Generated description
Ryggebyen is a small urban settlement in Østfold, Norway, functioning as the main local hub for services and administration in the Rygge area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ryggebyen
Target entity description: Ryggebyen is a small urban settlement in Østfold, Norway, functioning as the main local hub for services and administration in the Rygge area.
  • A. Nadderud
    Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
  • B. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • C. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • D. Nesbyen
    Nesbyen is a small town and municipality in southeastern Norway known for its inland valley setting, historic wooden buildings, and notably warm summer temperatures.
  • E. Nordingrå
    Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87ea554888190bf2ef31e33c0ff14 completed April 10, 2026, 4:37 a.m.
NEDg Description generation batch_69d8837e70508190b03e8983b2617eac completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889cc40648190a1d80b955e676ea5 completed April 10, 2026, 5:25 a.m.
Created at: April 6, 2026, 12:13 p.m.