Triple

T3593274
Position Surface form Disambiguated ID Type / Status
Subject Kristiansund E76076 entity
Predicate composedOf P402 FINISHED
Object Kirkelandet
Kirkelandet is the central island and main urban area of the Norwegian coastal city of Kristiansund.
 E373442 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: Kirkelandet | Statement: [Kristiansund, composedOf, Kirkelandet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kirkelandet
Context triple: [Kristiansund, composedOf, Kirkelandet]
  • A. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • B. Köpingsvik
    Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
  • C. Norheimsund
    Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
  • D. Drøbak
    Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
  • E. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • 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: Kirkelandet
Triple: [Kristiansund, composedOf, Kirkelandet]
Generated description
Kirkelandet is the central island and main urban area of the Norwegian coastal city of Kristiansund.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kirkelandet
Target entity description: Kirkelandet is the central island and main urban area of the Norwegian coastal city of Kristiansund.
  • A. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • B. Köpingsvik
    Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
  • C. Norheimsund
    Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
  • D. Drøbak
    Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
  • E. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15bbbcc81908d6cf95f8e70c6ca completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43307cb548190824bb6704e339bff completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b436ac70a481909a623841b836e1a7 completed March 13, 2026, 4:09 p.m.
NED2 Entity disambiguation (via description) batch_69b43731d4708190abd41b28889c4c88 completed March 13, 2026, 4:11 p.m.
Created at: March 8, 2026, 3:22 p.m.