Triple
T7853781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skedsmo |
E182120
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object |
Skjetten
Skjetten is a suburban residential area in Lillestrøm municipality in Viken county, Norway, located northeast of Oslo.
|
E695705
|
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: Skjetten | Statement: [Skedsmo, hasMajorSettlement, Skjetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skjetten Context triple: [Skedsmo, hasMajorSettlement, Skjetten]
-
A.
Voss
Voss is a municipality in western Norway known for its scenic landscapes, outdoor sports, and traditional cultural festivals.
-
B.
Voss
Voss is a premium Norwegian bottled water brand known for its minimalist cylindrical glass bottles and upscale positioning.
-
C.
Den Osse
Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
-
D.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
E.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
- 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: Skjetten Triple: [Skedsmo, hasMajorSettlement, Skjetten]
Generated description
Skjetten is a suburban residential area in Lillestrøm municipality in Viken county, Norway, located northeast of Oslo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skjetten Target entity description: Skjetten is a suburban residential area in Lillestrøm municipality in Viken county, Norway, located northeast of Oslo.
-
A.
Voss
Voss is a municipality in western Norway known for its scenic landscapes, outdoor sports, and traditional cultural festivals.
-
B.
Voss
Voss is a premium Norwegian bottled water brand known for its minimalist cylindrical glass bottles and upscale positioning.
-
C.
Den Osse
Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
-
D.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
E.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ed56d481909266d862e0ae152d |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b1e9e808190a0eb2dea5288e743 |
completed | March 31, 2026, 5:26 a.m. |
| NEDg | Description generation | batch_69cb5def38e88190864d84abd7959aa3 |
completed | March 31, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb767b198481909cfc1f7a44e6f0d8 |
completed | March 31, 2026, 7:23 a.m. |
Created at: March 30, 2026, 4:51 p.m.