Triple

T400820
Position Surface form Disambiguated ID Type / Status
Subject Halden E9275 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Sarpsborg
Sarpsborg is a historic city and municipality in Viken county, Norway, known as one of the country’s oldest towns and an important industrial and administrative center in the Østfold region.
E50822 NE FINISHED

How this triple was built (5 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: Sarpsborg | Statement: [Halden, hasNeighbouringMunicipality, Sarpsborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarpsborg
Context triple: [Halden, hasNeighbouringMunicipality, Sarpsborg]
  • A. Tøyen
    Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
  • B. Lillehammer
    Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
  • C. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • D. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • E. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • 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: Sarpsborg
Triple: [Halden, hasNeighbouringMunicipality, Sarpsborg]
Generated description
Sarpsborg is a historic city and municipality in Viken county, Norway, known as one of the country’s oldest towns and an important industrial and administrative center in the Østfold region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarpsborg
Target entity description: Sarpsborg is a historic city and municipality in Viken county, Norway, known as one of the country’s oldest towns and an important industrial and administrative center in the Østfold region.
  • A. Tøyen
    Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
  • B. Lillehammer
    Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
  • C. Gaustad
    Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
  • D. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • E. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNeighbouringMunicipality
Context triple: [Halden, hasNeighbouringMunicipality, Sarpsborg]
  • A. hasNearbyTown
    Indicates that one location has a town situated close to it in geographic proximity.
  • B. adjacentToCounty
    Indicates that one county directly borders or touches another county geographically.
  • C. borderedBy chosen
    Indicates that one entity shares a common boundary or edge with another entity.
  • D. hasNeighbourhood
    Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
  • E. hasTwinTown
    Indicates that two towns or cities are officially paired in a twinning relationship, typically for cultural, social, or economic exchange.
  • F. None of above.

Provenance (6 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8e655c819081eff85c0ef55fa5 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a410410c108190990d4d5ef2e7ff61 completed March 1, 2026, 10:09 a.m.
NEDg Description generation batch_69a410ce17ac8190a3ac2325e36cf6b3 completed March 1, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69a41125951c8190accbf273ef677206 completed March 1, 2026, 10:12 a.m.
PD Predicate disambiguation batch_69a2e96ee4ec8190a5c0e3f491d3963d completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.