Triple
T10428408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nes (Akershus) |
E245844
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Oppåkermoen
Oppåkermoen is a small village located in the municipality of Nes in Akershus county, Norway.
|
E864939
|
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: Oppåkermoen | Statement: [Nes (Akershus), hasSettlement, Oppåkermoen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oppåkermoen Context triple: [Nes (Akershus), hasSettlement, Oppåkermoen]
-
A.
Jørstadmoen
Jørstadmoen is a military base and village area in Lillehammer, Norway, known primarily as a key site for the Norwegian Armed Forces and home to important defense and cyber units.
-
B.
Møysalen
Møysalen is a prominent mountain in northern Norway known for its rugged alpine scenery and popular hiking routes.
-
C.
Ullernåsen
Ullernåsen is a residential hillside neighborhood in Oslo, Norway, known for its apartment blocks, green surroundings, and views over the western parts of the city.
-
D.
Glåma
Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
-
E.
Sørreisa
Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
- 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: Oppåkermoen Triple: [Nes (Akershus), hasSettlement, Oppåkermoen]
Generated description
Oppåkermoen is a small village located in the municipality of Nes in Akershus county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oppåkermoen Target entity description: Oppåkermoen is a small village located in the municipality of Nes in Akershus county, Norway.
-
A.
Jørstadmoen
Jørstadmoen is a military base and village area in Lillehammer, Norway, known primarily as a key site for the Norwegian Armed Forces and home to important defense and cyber units.
-
B.
Møysalen
Møysalen is a prominent mountain in northern Norway known for its rugged alpine scenery and popular hiking routes.
-
C.
Ullernåsen
Ullernåsen is a residential hillside neighborhood in Oslo, Norway, known for its apartment blocks, green surroundings, and views over the western parts of the city.
-
D.
Glåma
Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
-
E.
Sørreisa
Sørreisa is a small coastal municipality and village area in northern Norway known for its fjords and rural Arctic landscape.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f8a5b00819080c303bb0fc82f5a |
completed | April 10, 2026, 6:58 a.m. |
| NEDg | Description generation | batch_69d8a1656b348190ba932d03402d6a4d |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2b82bb48190899f37a967fef444 |
completed | April 10, 2026, 7:11 a.m. |
Created at: April 6, 2026, 12:13 p.m.