Triple
T6304157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestre Aker |
E141330
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ris
Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
|
E584506
|
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: Ris | Statement: [Vestre Aker, contains, Ris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ris Context triple: [Vestre Aker, contains, Ris]
-
A.
Rist
Rist is the surname of Swiss visual artist Pipilotti Rist, renowned for her innovative video art and immersive multimedia installations.
-
B.
Risoul
Risoul is a French alpine ski resort and commune known for its extensive slopes and scenic location in the southern Alps.
-
C.
Rie
Rie is a common diminutive or nickname form of the given name Marie, used in various European languages.
-
D.
Rik
Rik is the amnesiac protagonist of Isaac Asimov’s science fiction novel "The Currents of Space," whose lost memories hold crucial political and scientific secrets.
-
E.
Rakkasans
Rakkasans is the distinctive nickname of the 3rd Brigade Combat Team of the U.S. Army’s 101st Airborne Division, renowned for its airborne and air assault operations.
- 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: Ris Triple: [Vestre Aker, contains, Ris]
Generated description
Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ris Target entity description: Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
-
A.
Rist
Rist is the surname of Swiss visual artist Pipilotti Rist, renowned for her innovative video art and immersive multimedia installations.
-
B.
Risoul
Risoul is a French alpine ski resort and commune known for its extensive slopes and scenic location in the southern Alps.
-
C.
Rie
Rie is a common diminutive or nickname form of the given name Marie, used in various European languages.
-
D.
Rik
Rik is the amnesiac protagonist of Isaac Asimov’s science fiction novel "The Currents of Space," whose lost memories hold crucial political and scientific secrets.
-
E.
Rakkasans
Rakkasans is the distinctive nickname of the 3rd Brigade Combat Team of the U.S. Army’s 101st Airborne Division, renowned for its airborne and air assault operations.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645f26a881909d5746151c0843cc |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e43e085081908546fa120a43bf84 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5e69033cc8190a4c3f88993620754 |
completed | March 27, 2026, 2:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e73595288190a8c0696d7c1dc887 |
completed | March 27, 2026, 2:11 a.m. |
Created at: March 22, 2026, 4:28 p.m.