Triple
T21066967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Søre Ål parish |
E518999
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Lillehammer prosti
Lillehammer prosti is a deanery within the Church of Norway that oversees several parishes in and around the town of Lillehammer.
|
E1465981
|
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: Lillehammer prosti | Statement: [Søre Ål parish, partOf, Lillehammer prosti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lillehammer prosti Context triple: [Søre Ål parish, partOf, Lillehammer prosti]
-
A.
Lillehammer
Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
-
B.
Lillehammer municipality
Lillehammer municipality is a local government area in Innlandet county, Norway, best known for the town of Lillehammer, which hosted the 1994 Winter Olympics.
-
C.
Beitstad
Beitstad was a former municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
-
D.
Lørenskog
Lørenskog is a suburban municipality in Viken county, Norway, located just east of Oslo and known for its residential areas and commercial centers.
-
E.
Lyngdal
Lyngdal is a coastal town and municipality in southern Norway known for its beaches, fjords, and tourism.
- 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: Lillehammer prosti Triple: [Søre Ål parish, partOf, Lillehammer prosti]
Generated description
Lillehammer prosti is a deanery within the Church of Norway that oversees several parishes in and around the town of Lillehammer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lillehammer prosti Target entity description: Lillehammer prosti is a deanery within the Church of Norway that oversees several parishes in and around the town of Lillehammer.
-
A.
Lillehammer
Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
-
B.
Lillehammer municipality
Lillehammer municipality is a local government area in Innlandet county, Norway, best known for the town of Lillehammer, which hosted the 1994 Winter Olympics.
-
C.
Beitstad
Beitstad was a former municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
-
D.
Lørenskog
Lørenskog is a suburban municipality in Viken county, Norway, located just east of Oslo and known for its residential areas and commercial centers.
-
E.
Lyngdal
Lyngdal is a coastal town and municipality in southern Norway known for its beaches, fjords, and tourism.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a4f9aa48190ab252a7101826c04 |
completed | May 17, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a095c3c2b6881908e59ac4694b961db |
completed | May 17, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095c94bad881909a0308fa92f65c68 |
completed | May 17, 2026, 6:13 a.m. |
Created at: April 16, 2026, 2:45 p.m.