Triple

T18113166
Position Surface form Disambiguated ID Type / Status
Subject Lom E433531 entity
Predicate hasParish P35 FINISHED
Object Lom parish
Lom parish is a Church of Norway parish serving the local Lutheran congregation in the mountainous municipality of Lom in Innlandet county, Norway.
E1307304 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: Lom parish | Statement: [Lom, hasParish, Lom parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lom parish
Context triple: [Lom, hasParish, Lom parish]
  • A. Muhu Parish
    Muhu Parish is a rural municipality in Saare County, Estonia, encompassing Muhu Island and several smaller surrounding islets.
  • B. Luunja Parish
    Luunja Parish is a rural municipality in eastern Estonia known for its agricultural landscape and proximity to the city of Tartu.
  • C. Viimsi Parish
    Viimsi Parish is a suburban rural municipality in northern Estonia, located on the Viimsi Peninsula just northeast of the capital city Tallinn.
  • D. Saku Parish
    Saku Parish is a rural municipality in northern Estonia known for its proximity to Tallinn and its mix of small-town communities, forests, and agricultural areas.
  • E. Nõo Parish
    Nõo Parish is a rural municipality in southeastern Estonia known for its small communities, forests, and proximity to the city of Tartu.
  • 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: Lom parish
Triple: [Lom, hasParish, Lom parish]
Generated description
Lom parish is a Church of Norway parish serving the local Lutheran congregation in the mountainous municipality of Lom in Innlandet county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lom parish
Target entity description: Lom parish is a Church of Norway parish serving the local Lutheran congregation in the mountainous municipality of Lom in Innlandet county, Norway.
  • A. Muhu Parish
    Muhu Parish is a rural municipality in Saare County, Estonia, encompassing Muhu Island and several smaller surrounding islets.
  • B. Luunja Parish
    Luunja Parish is a rural municipality in eastern Estonia known for its agricultural landscape and proximity to the city of Tartu.
  • C. Viimsi Parish
    Viimsi Parish is a suburban rural municipality in northern Estonia, located on the Viimsi Peninsula just northeast of the capital city Tallinn.
  • D. Saku Parish
    Saku Parish is a rural municipality in northern Estonia known for its proximity to Tallinn and its mix of small-town communities, forests, and agricultural areas.
  • E. Nõo Parish
    Nõo Parish is a rural municipality in southeastern Estonia known for its small communities, forests, and proximity to the city of Tartu.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c3b95b481909fe58450f007544e completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037db328b08190b003da3980076ecf completed May 12, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a037e99ae98819087afa088fb42e847 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:28 a.m.