Triple

T20050994
Position Surface form Disambiguated ID Type / Status
Subject Meldal E499195 entity
Predicate hasChurch P15000 FINISHED
Object Løkken Church
Løkken Church is a parish church serving the local community in the village of Løkken in Meldal, Norway.
E1408160 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: Løkken Church | Statement: [Meldal, hasChurch, Løkken Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Løkken Church
Context triple: [Meldal, hasChurch, Løkken Church]
  • A. Antvorskov Church
    Antvorskov Church is a historic parish church in Slagelse, Denmark, known for serving the local community and reflecting traditional Danish ecclesiastical architecture.
  • B. Svaneke Church
    Svaneke Church is a historic parish church in the coastal town of Svaneke on the Danish island of Bornholm, known for its picturesque setting and traditional Danish architecture.
  • C. Bragernes Church
    Bragernes Church is a prominent 19th-century neo-Gothic parish church and city landmark located in the center of Drammen, Norway.
  • D. Udenes Church
    Udenes Church is a historic parish church in Nes, Akershus, Norway, known for serving as a local center of Lutheran worship and community life.
  • E. Vanløse Church
    Vanløse Church is a parish church serving the local Lutheran congregation in the Vanløse district of Copenhagen, Denmark.
  • 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: Løkken Church
Triple: [Meldal, hasChurch, Løkken Church]
Generated description
Løkken Church is a parish church serving the local community in the village of Løkken in Meldal, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Løkken Church
Target entity description: Løkken Church is a parish church serving the local community in the village of Løkken in Meldal, Norway.
  • A. Antvorskov Church
    Antvorskov Church is a historic parish church in Slagelse, Denmark, known for serving the local community and reflecting traditional Danish ecclesiastical architecture.
  • B. Svaneke Church
    Svaneke Church is a historic parish church in the coastal town of Svaneke on the Danish island of Bornholm, known for its picturesque setting and traditional Danish architecture.
  • C. Bragernes Church
    Bragernes Church is a prominent 19th-century neo-Gothic parish church and city landmark located in the center of Drammen, Norway.
  • D. Udenes Church
    Udenes Church is a historic parish church in Nes, Akershus, Norway, known for serving as a local center of Lutheran worship and community life.
  • E. Vanløse Church
    Vanløse Church is a parish church serving the local Lutheran congregation in the Vanløse district of Copenhagen, Denmark.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632d9d888190b0985bb5ed989311 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081607e4988190838907e8bce1ee3e completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a081691dcfc8190b41040341d99a9c9 completed May 16, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_6a08171724cc81908d6997dbae84ad9e completed May 16, 2026, 7:04 a.m.
Created at: April 11, 2026, 3:38 p.m.