Triple
T7471770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Metro Line 4 |
E176523
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Rommen station
Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
|
E667338
|
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: Rommen station | Statement: [Oslo Metro Line 4, servesStation, Rommen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rommen station Context triple: [Oslo Metro Line 4, servesStation, Rommen station]
-
A.
Valhalla station
Valhalla station is a Metro-North Railroad commuter rail stop in the hamlet of Valhalla in Mount Pleasant, New York.
-
B.
Sentrum station
Sentrum station was the original name of what is now known as Stortinget metro station in central Oslo, Norway.
-
C.
Kampen station
Kampen station is a railway station in the city of Kampen in the Netherlands, serving as a local stop on the regional rail network.
-
D.
Ris station
Ris station is a stop on Oslo's Holmenkollen Line (Line 1) of the Oslo Metro, serving the residential neighborhood of Ris in Oslo, Norway.
-
E.
Märsta Station
Märsta Station is a key suburban railway hub in the town of Märsta, serving as a northern terminus and important node in the Stockholm commuter rail network.
- 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: Rommen station Triple: [Oslo Metro Line 4, servesStation, Rommen station]
Generated description
Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rommen station Target entity description: Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
-
A.
Valhalla station
Valhalla station is a Metro-North Railroad commuter rail stop in the hamlet of Valhalla in Mount Pleasant, New York.
-
B.
Sentrum station
Sentrum station was the original name of what is now known as Stortinget metro station in central Oslo, Norway.
-
C.
Kampen station
Kampen station is a railway station in the city of Kampen in the Netherlands, serving as a local stop on the regional rail network.
-
D.
Ris station
Ris station is a stop on Oslo's Holmenkollen Line (Line 1) of the Oslo Metro, serving the residential neighborhood of Ris in Oslo, Norway.
-
E.
Märsta Station
Märsta Station is a key suburban railway hub in the town of Märsta, serving as a northern terminus and important node in the Stockholm commuter rail network.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f415b5cc81909e1e097c90f460b6 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83480a40c8190a7ae3e08022735a1 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835ce5bbc8190b968535c16cfc660 |
completed | March 28, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c836a80eb081908b9937944fe18661 |
completed | March 28, 2026, 8:14 p.m. |
Created at: March 27, 2026, 3:41 p.m.