Triple
T7584008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofoten Line |
E179560
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Straumsnes Station
Straumsnes Station is a railway stop located along Norway’s Ofoten Line, which connects the port city of Narvik to the Swedish border.
|
E674431
|
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: Straumsnes Station | Statement: [Ofoten Line, hasStation, Straumsnes Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Straumsnes Station Context triple: [Ofoten Line, hasStation, Straumsnes Station]
-
A.
Nikolassee station
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
-
B.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
C.
Baltiyskaya MCC station
Baltiyskaya MCC station is a passenger rail station on Moscow’s orbital Moscow Central Circle urban rail line.
-
D.
Serdika station
Serdika station is a central interchange station in the Sofia Metro system, connecting key lines and serving as a major transit hub in Bulgaria’s capital.
-
E.
Khimvolokno station
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
- 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: Straumsnes Station Triple: [Ofoten Line, hasStation, Straumsnes Station]
Generated description
Straumsnes Station is a railway stop located along Norway’s Ofoten Line, which connects the port city of Narvik to the Swedish border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Straumsnes Station Target entity description: Straumsnes Station is a railway stop located along Norway’s Ofoten Line, which connects the port city of Narvik to the Swedish border.
-
A.
Nikolassee station
Nikolassee station is a Berlin S-Bahn railway station in the Nikolassee district, serving as a local transit hub on the city's southwestern rail network.
-
B.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
C.
Baltiyskaya MCC station
Baltiyskaya MCC station is a passenger rail station on Moscow’s orbital Moscow Central Circle urban rail line.
-
D.
Serdika station
Serdika station is a central interchange station in the Sofia Metro system, connecting key lines and serving as a major transit hub in Bulgaria’s capital.
-
E.
Khimvolokno station
Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f993cd0c8190864f801074625a32 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861812e08819097fd14fe2b8fee13 |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c862466fd481908ea5772e76a88d95 |
completed | March 28, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862cae0448190859a07db338e1de7 |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:52 p.m.