Triple

T19579904
Position Surface form Disambiguated ID Type / Status
Subject Skien Church E489958 entity
Predicate deanery P19542 FINISHED
Object Skien prosti
Skien prosti is an ecclesiastical deanery in the Church of Norway that oversees a group of parishes in and around the city of Skien.
E1385078 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: Skien prosti | Statement: [Skien Church, deanery, Skien prosti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skien prosti
Context triple: [Skien Church, deanery, Skien prosti]
  • A. 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.
  • B. Skien Municipality
    Skien Municipality is a local government area in Vestfold og Telemark county, Norway, encompassing the city of Skien and its surrounding communities.
  • C. Sokna
    Sokna is an extinct Eastern Berber language formerly spoken around the oasis town of Sokna in central Libya.
  • D. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • 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: Skien prosti
Triple: [Skien Church, deanery, Skien prosti]
Generated description
Skien prosti is an ecclesiastical deanery in the Church of Norway that oversees a group of parishes in and around the city of Skien.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skien prosti
Target entity description: Skien prosti is an ecclesiastical deanery in the Church of Norway that oversees a group of parishes in and around the city of Skien.
  • A. 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.
  • B. Skien Municipality
    Skien Municipality is a local government area in Vestfold og Telemark county, Norway, encompassing the city of Skien and its surrounding communities.
  • C. Sokna
    Sokna is an extinct Eastern Berber language formerly spoken around the oasis town of Sokna in central Libya.
  • D. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402763b8819099e535979f094f9d completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f0b1ce08190bdaf79f017fea675 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075f8c106481908e6fd7631ae69842 completed May 15, 2026, 6:01 p.m.
NED2 Entity disambiguation (via description) batch_6a076070784c81908d28306344363c53 completed May 15, 2026, 6:05 p.m.
Created at: April 10, 2026, 1:42 p.m.