Triple
T22683041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trondheimsveien |
E560831
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
Sinsenkrysset
Sinsenkrysset is a major multi-level road junction and traffic hub in Oslo, Norway.
|
E1549415
|
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: Sinsenkrysset | Statement: [Trondheimsveien, hasJunctionWith, Sinsenkrysset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinsenkrysset Context triple: [Trondheimsveien, hasJunctionWith, Sinsenkrysset]
-
A.
Sinneringen
Sinneringen is a small locality within the former municipality of Vechigen in the canton of Bern, Switzerland.
-
B.
Sinuessa
Sinuessa was an ancient Roman coastal town in Campania, Italy, known for its strategic location along major roads and its nearby thermal baths.
-
C.
Hinterriß
Hinterriß is a small alpine village in the Karwendel mountains of Tyrol, Austria, known as a remote gateway for hiking and nature tourism.
-
D.
The Sins
The Sins is a British television drama series that follows a career criminal struggling to go straight while each episode explores one of the seven deadly sins.
-
E.
The Sins
The Sins is a work by author Dominique Caine, likely a dark, character-driven story centered on moral transgression and its consequences.
- 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: Sinsenkrysset Triple: [Trondheimsveien, hasJunctionWith, Sinsenkrysset]
Generated description
Sinsenkrysset is a major multi-level road junction and traffic hub in Oslo, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sinsenkrysset Target entity description: Sinsenkrysset is a major multi-level road junction and traffic hub in Oslo, Norway.
-
A.
Sinneringen
Sinneringen is a small locality within the former municipality of Vechigen in the canton of Bern, Switzerland.
-
B.
Sinuessa
Sinuessa was an ancient Roman coastal town in Campania, Italy, known for its strategic location along major roads and its nearby thermal baths.
-
C.
Hinterriß
Hinterriß is a small alpine village in the Karwendel mountains of Tyrol, Austria, known as a remote gateway for hiking and nature tourism.
-
D.
The Sins
The Sins is a British television drama series that follows a career criminal struggling to go straight while each episode explores one of the seven deadly sins.
-
E.
The Sins
The Sins is a work by author Dominique Caine, likely a dark, character-driven story centered on moral transgression and its consequences.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786204d88190a837a5f04e16e94c |
completed | April 29, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73f4db988190a651faf7f454c6c8 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7551043c81908323a86af4db77ce |
completed | May 18, 2026, 8:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b764c2de88190bb1024206607d107 |
completed | May 18, 2026, 8:27 p.m. |
Created at: April 17, 2026, 3:12 p.m.