Triple
T10429792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mysen |
E245880
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Mysen Station
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
|
E1069958
|
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: Mysen Station | Statement: [Mysen, hasRailwayStation, Mysen Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mysen Station Context triple: [Mysen, hasRailwayStation, Mysen Station]
-
A.
Harestua Station
Harestua Station is a railway station serving the village of Harestua in Lunner, Norway, on the Gjøvik Line.
-
B.
Kōri Station
Kōri Station is a railway station in Japan located near Amagasaki, serving local passenger rail services on its line.
-
C.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
-
D.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
E.
Gaiemmae Station
Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
- 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: Mysen Station Triple: [Mysen, hasRailwayStation, Mysen Station]
Generated description
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mysen Station Target entity description: Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
-
A.
Harestua Station
Harestua Station is a railway station serving the village of Harestua in Lunner, Norway, on the Gjøvik Line.
-
B.
Kōri Station
Kōri Station is a railway station in Japan located near Amagasaki, serving local passenger rail services on its line.
-
C.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
-
D.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
E.
Gaiemmae Station
Gaiemmae Station is a Tokyo Metro subway station in Minato, Tokyo, serving the Ginza Line and providing convenient access to nearby sports and cultural facilities.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea62d6448190a7f5b785467824cf |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce593bbc8190827ca217f43140b9 |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd56da288190b2bd33bc496c3fb9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb039fdb1c8190ad5286d1cfe80a29 |
completed | May 6, 2026, 9:02 a.m. |
Created at: April 6, 2026, 12:13 p.m.