Triple
T3506310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen |
E74082
|
entity |
| Predicate | hasLightRail |
P473
|
FINISHED |
| Object |
Bybanen
Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
|
E363648
|
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: Bybanen | Statement: [Bergen, hasLightRail, Bybanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bybanen Context triple: [Bergen, hasLightRail, Bybanen]
-
A.
Sporveien
Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
-
B.
Rombaken
Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
-
C.
Barkarby
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
-
D.
Jordbro
Jordbro is a suburban district in the southern Stockholm region of Sweden, known for its residential areas, industrial zone, and commuter rail connections within Haninge Municipality.
-
E.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
- 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: Bybanen Triple: [Bergen, hasLightRail, Bybanen]
Generated description
Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bybanen Target entity description: Bybanen is the modern light rail system serving the Norwegian city of Bergen, providing frequent urban and suburban public transport.
-
A.
Sporveien
Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
-
B.
Rombaken
Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
-
C.
Barkarby
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
-
D.
Jordbro
Jordbro is a suburban district in the southern Stockholm region of Sweden, known for its residential areas, industrial zone, and commuter rail connections within Haninge Municipality.
-
E.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf52bd8819085a2ac5f48cc5c68 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373e0dc7881909af631182970d132 |
completed | March 13, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69b375337e6c8190a3d2a1561c133ecb |
completed | March 13, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b375bb3f8c819097b295a2881b3b82 |
completed | March 13, 2026, 2:26 a.m. |
Created at: March 8, 2026, 3:18 p.m.