Triple

T6216540
Position Surface form Disambiguated ID Type / Status
Subject Rogaland E139000 entity
Predicate hasMunicipality P847 FINISHED
Object Klepp
Klepp is a coastal agricultural municipality located on the Jæren plain in Rogaland county in southwestern Norway.
 E652810 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: Klepp | Statement: [Rogaland, hasMunicipality, Klepp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klepp
Context triple: [Rogaland, hasMunicipality, Klepp]
  • A. Bærum
    Bærum is a wealthy suburban municipality just west of Oslo, Norway, known for its high standard of living and residential communities.
  • B. Florø
    Florø is a coastal town in western Norway known as the country’s westernmost town and a traditional center for fishing and maritime industries.
  • C. Kristiansund
    Kristiansund is a coastal city in western Norway known for its historic clipfish industry, distinctive layout across several islands, and picturesque harbor.
  • D. Skien
    Skien is a historic city in southern Norway known as the birthplace of playwright Henrik Ibsen and as a regional commercial and industrial center.
  • E. Steinkjer
    Steinkjer is a town and municipality in central Norway that serves as an important regional center and administrative hub in Trøndelag county.
  • 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: Klepp
Triple: [Rogaland, hasMunicipality, Klepp]
Generated description
Klepp is a coastal agricultural municipality located on the Jæren plain in Rogaland county in southwestern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klepp
Target entity description: Klepp is a coastal agricultural municipality located on the Jæren plain in Rogaland county in southwestern Norway.
  • A. Bærum
    Bærum is a wealthy suburban municipality just west of Oslo, Norway, known for its high standard of living and residential communities.
  • B. Florø
    Florø is a coastal town in western Norway known as the country’s westernmost town and a traditional center for fishing and maritime industries.
  • C. Kristiansund
    Kristiansund is a coastal city in western Norway known for its historic clipfish industry, distinctive layout across several islands, and picturesque harbor.
  • D. Skien
    Skien is a historic city in southern Norway known as the birthplace of playwright Henrik Ibsen and as a regional commercial and industrial center.
  • E. Steinkjer
    Steinkjer is a town and municipality in central Norway that serves as an important regional center and administrative hub in Trøndelag county.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a1eb3881908c7f735cf9c429ce completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daf2ac9c81909a029c784cc70827 completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dc05a1d0819088a7b3fd30978776 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc7cb2d48190a40523eb7b03a9ef completed March 28, 2026, 1:49 p.m.
Created at: March 22, 2026, 4:21 p.m.