Triple
T10428212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nedre Eiker |
E245840
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Ytterkollen
Ytterkollen is a small village in Norway that forms part of the former municipality of Nedre Eiker in Viken county.
|
E862671
|
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: Ytterkollen | Statement: [Nedre Eiker, containsSettlement, Ytterkollen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ytterkollen Context triple: [Nedre Eiker, containsSettlement, Ytterkollen]
-
A.
Ytterhogdal
Ytterhogdal is a small locality in Härjedalen, central Sweden, known for its rural setting and traditional Swedish countryside character.
-
B.
Erdberg
Erdberg is a neighborhood in Vienna’s 3rd district, known for its major transport hubs and mix of residential and commercial areas.
-
C.
Utö mines
Utö mines are historic iron ore mines on the Swedish island of Utö, known as some of the oldest iron mines in Sweden and an important site in the country’s early mining industry.
-
D.
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
-
E.
Untersberg
Untersberg is a prominent limestone massif in the Berchtesgaden Alps on the border between Austria and Germany, known for its extensive cave systems, hiking routes, and panoramic views.
- 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: Ytterkollen Triple: [Nedre Eiker, containsSettlement, Ytterkollen]
Generated description
Ytterkollen is a small village in Norway that forms part of the former municipality of Nedre Eiker in Viken county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ytterkollen Target entity description: Ytterkollen is a small village in Norway that forms part of the former municipality of Nedre Eiker in Viken county.
-
A.
Ytterhogdal
Ytterhogdal is a small locality in Härjedalen, central Sweden, known for its rural setting and traditional Swedish countryside character.
-
B.
Erdberg
Erdberg is a neighborhood in Vienna’s 3rd district, known for its major transport hubs and mix of residential and commercial areas.
-
C.
Utö mines
Utö mines are historic iron ore mines on the Swedish island of Utö, known as some of the oldest iron mines in Sweden and an important site in the country’s early mining industry.
-
D.
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
-
E.
Untersberg
Untersberg is a prominent limestone massif in the Berchtesgaden Alps on the border between Austria and Germany, known for its extensive cave systems, hiking routes, and panoramic views.
- 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_69d7fc2b50b48190b1d5b29d19a240c2 |
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_69d859fd8f0c8190b0fec880e1180e50 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:13 p.m.