Triple
T23080720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bøler |
E575460
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object |
General Ruges vei
General Ruges vei is a street in the Bøler area of Oslo, Norway, named in honor of a military figure.
|
E1570251
|
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: General Ruges vei | Statement: [Bøler, hasRoadConnection, General Ruges vei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Ruges vei Context triple: [Bøler, hasRoadConnection, General Ruges vei]
-
A.
Svenskens vei
Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
B.
Juvassvegen road
Juvassvegen road is a high-altitude mountain road in Norway that provides access to the Juvasshytta lodge and the surrounding Jotunheimen area.
-
C.
Dokkveien
Dokkveien is a street located in the Vika neighborhood of central Oslo, Norway, near the city’s waterfront and business district.
-
D.
Veitvetveien
Veitvetveien is a street in the Veitvet neighborhood of Oslo, Norway, serving as one of the area’s main local thoroughfares.
-
E.
Brogar Road
Brogar Road is a local roadway in the vicinity of Stenness on Mainland Orkney, Scotland, providing access through this historically rich rural area.
- 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: General Ruges vei Triple: [Bøler, hasRoadConnection, General Ruges vei]
Generated description
General Ruges vei is a street in the Bøler area of Oslo, Norway, named in honor of a military figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: General Ruges vei Target entity description: General Ruges vei is a street in the Bøler area of Oslo, Norway, named in honor of a military figure.
-
A.
Svenskens vei
Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
B.
Juvassvegen road
Juvassvegen road is a high-altitude mountain road in Norway that provides access to the Juvasshytta lodge and the surrounding Jotunheimen area.
-
C.
Dokkveien
Dokkveien is a street located in the Vika neighborhood of central Oslo, Norway, near the city’s waterfront and business district.
-
D.
Veitvetveien
Veitvetveien is a street in the Veitvet neighborhood of Oslo, Norway, serving as one of the area’s main local thoroughfares.
-
E.
Brogar Road
Brogar Road is a local roadway in the vicinity of Stenness on Mainland Orkney, Scotland, providing access through this historically rich rural area.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c67e06881908d24d6267bb49553 |
completed | April 29, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15b0a6ac819085f13e7bdc82840f |
completed | May 19, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_6a0c175e246081909d6451f245ccfe66 |
completed | May 19, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c1820a4d88190aed59f50b4e7ec47 |
completed | May 19, 2026, 7:58 a.m. |
Created at: April 17, 2026, 3:56 p.m.