Triple

T179630
Position Surface form Disambiguated ID Type / Status
Subject King of Norway E3655 entity
Predicate residence P75 FINISHED
Object Ledaal, Stavanger
Ledaal in Stavanger is a historic manor house that served as a royal residence for the King of Norway and now functions as a museum and cultural venue.
 E23197 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: Ledaal, Stavanger | Statement: [King of Norway, residence, Ledaal, Stavanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ledaal, Stavanger
Context triple: [King of Norway, residence, Ledaal, Stavanger]
  • A. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • B. Lillehammer
    Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
  • C. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • D. Jøssingfjord
    Jøssingfjord is a narrow fjord on the southwestern coast of Norway, historically notable as the site of the 1940 Altmark Incident during World War II.
  • E. Lysgårdsbakken
    Lysgårdsbakken is a large ski jumping hill complex in Lillehammer, Norway, best known for hosting the ski jumping events of the 1994 Winter Olympics.
  • 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: Ledaal, Stavanger
Triple: [King of Norway, residence, Ledaal, Stavanger]
Generated description
Ledaal in Stavanger is a historic manor house that served as a royal residence for the King of Norway and now functions as a museum and cultural venue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ledaal, Stavanger
Target entity description: Ledaal in Stavanger is a historic manor house that served as a royal residence for the King of Norway and now functions as a museum and cultural venue.
  • A. Arendal
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • B. Lillehammer
    Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
  • C. Oslo
    Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
  • D. Jøssingfjord
    Jøssingfjord is a narrow fjord on the southwestern coast of Norway, historically notable as the site of the 1940 Altmark Incident during World War II.
  • E. Lysgårdsbakken
    Lysgårdsbakken is a large ski jumping hill complex in Lillehammer, Norway, best known for hosting the ski jumping events of the 1994 Winter Olympics.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25900709c8190a65e778936be5dd5 completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fa7c7a288190bc547d5e7010732b completed Feb. 28, 2026, 2:23 p.m.
NEDg Description generation batch_69a2fb52104881908fb78842af09bf0e completed Feb. 28, 2026, 2:27 p.m.
NED2 Entity disambiguation (via description) batch_69a2fc081c8c8190a37abb5fbcc7c335 completed Feb. 28, 2026, 2:30 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.