Triple
T20707915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class 71 electric multiple unit |
E508952
|
entity |
| Predicate | usedOn |
P2367
|
FINISHED |
| Object |
Gardermobanen
Gardermobanen is a high-speed railway line in Norway that connects Oslo with Oslo Airport, Gardermoen, and further north.
|
E1445471
|
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: Gardermobanen | Statement: [Class 71 electric multiple unit, usedOn, Gardermobanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardermobanen Context triple: [Class 71 electric multiple unit, usedOn, Gardermobanen]
-
A.
Fjellveien
Fjellveien is a hillside area and road in Bergen, Norway, known for its scenic views over the city and as a popular route for walking and recreation.
-
B.
Sannergata
Sannergata is a street in the Grünerløkka district of Oslo, Norway, known for its urban character and proximity to cafés, shops, and residential areas.
-
C.
Svenskens vei
Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
D.
Jærbanen
Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
-
E.
Sporveien
Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
- 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: Gardermobanen Triple: [Class 71 electric multiple unit, usedOn, Gardermobanen]
Generated description
Gardermobanen is a high-speed railway line in Norway that connects Oslo with Oslo Airport, Gardermoen, and further north.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gardermobanen Target entity description: Gardermobanen is a high-speed railway line in Norway that connects Oslo with Oslo Airport, Gardermoen, and further north.
-
A.
Fjellveien
Fjellveien is a hillside area and road in Bergen, Norway, known for its scenic views over the city and as a popular route for walking and recreation.
-
B.
Sannergata
Sannergata is a street in the Grünerløkka district of Oslo, Norway, known for its urban character and proximity to cafés, shops, and residential areas.
-
C.
Svenskens vei
Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
D.
Jærbanen
Jærbanen is a regional railway line in southwestern Norway that runs along the Jæren coast, connecting Stavanger with surrounding towns and communities.
-
E.
Sporveien
Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1952e888190877b79933970f7b0 |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7f4d5f08190a733c7247f51f492 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d8f47be881909859bbe23887d0fc |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:14 p.m.