Triple
T10428320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nannestad |
E245842
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Eltonåsen
Eltonåsen is a village in Nannestad municipality in Viken county, Norway, known as a small residential community within commuting distance of Oslo.
|
E862688
|
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: Eltonåsen | Statement: [Nannestad, hasSettlement, Eltonåsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eltonåsen Context triple: [Nannestad, hasSettlement, Eltonåsen]
-
A.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
B.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
-
C.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
D.
Holtålen
Holtålen is a rural municipality in Trøndelag county, Norway, known for its valleys, rivers, and traditional farming and forestry.
-
E.
Hisingen
Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
- 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: Eltonåsen Triple: [Nannestad, hasSettlement, Eltonåsen]
Generated description
Eltonåsen is a village in Nannestad municipality in Viken county, Norway, known as a small residential community within commuting distance of Oslo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eltonåsen Target entity description: Eltonåsen is a village in Nannestad municipality in Viken county, Norway, known as a small residential community within commuting distance of Oslo.
-
A.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
B.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
-
C.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
D.
Holtålen
Holtålen is a rural municipality in Trøndelag county, Norway, known for its valleys, rivers, and traditional farming and forestry.
-
E.
Hisingen
Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
- 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_69d7fc2d54048190b25f4d168a75ad3a |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d85a00e7f48190bf87ce9d04acc750 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:13 p.m.