Triple

T17847583
Position Surface form Disambiguated ID Type / Status
Subject Flesberg E445703 entity
Predicate hasParish P35 FINISHED
Object Lyngdal parish
Lyngdal parish is a local Church of Norway parish serving the community within the municipality of Flesberg.
E1290633 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: Lyngdal parish | Statement: [Flesberg, hasParish, Lyngdal parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyngdal parish
Context triple: [Flesberg, hasParish, Lyngdal parish]
  • A. Sogndal parish
    Sogndal parish is a Church of Norway parish serving the local community in and around the village of Sogndal in Vestland county.
  • B. Alstahaug parish
    Alstahaug parish is a Church of Norway parish serving the local community in the Alstahaug area of Nordland county.
  • C. Norddal municipality
    Norddal municipality was a former municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes in the Sunnmøre region.
  • D. Volda parish
    Volda parish is a Church of Norway parish serving the local Lutheran congregation in the municipality of Volda in western Norway.
  • E. Lyngen Municipality
    Lyngen Municipality is a coastal municipality in Troms og Finnmark county in northern Norway, known for the dramatic Lyngen Alps and popular for outdoor activities like skiing, hiking, and Northern Lights viewing.
  • 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: Lyngdal parish
Triple: [Flesberg, hasParish, Lyngdal parish]
Generated description
Lyngdal parish is a local Church of Norway parish serving the community within the municipality of Flesberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lyngdal parish
Target entity description: Lyngdal parish is a local Church of Norway parish serving the community within the municipality of Flesberg.
  • A. Sogndal parish
    Sogndal parish is a Church of Norway parish serving the local community in and around the village of Sogndal in Vestland county.
  • B. Alstahaug parish
    Alstahaug parish is a Church of Norway parish serving the local community in the Alstahaug area of Nordland county.
  • C. Norddal municipality
    Norddal municipality was a former municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes in the Sunnmøre region.
  • D. Volda parish
    Volda parish is a Church of Norway parish serving the local Lutheran congregation in the municipality of Volda in western Norway.
  • E. Lyngen Municipality
    Lyngen Municipality is a coastal municipality in Troms og Finnmark county in northern Norway, known for the dramatic Lyngen Alps and popular for outdoor activities like skiing, hiking, and Northern Lights viewing.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffc5fec8190adc66f7b0e264d5f completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0307039ae881909222fcc9827735d2 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307db9948819099bdf6f3b36893dd completed May 12, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a030862678881908da2ffe271723572 completed May 12, 2026, 11 a.m.
Created at: April 10, 2026, 10:16 a.m.