Triple
T21105163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen Station |
E520020
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Arna Station
Arna Station is a railway station in Arna, Norway, serving as a key stop on the Bergen Line just east of Bergen.
|
E1470200
|
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: Arna Station | Statement: [Bergen Station, connectsTo, Arna Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arna Station Context triple: [Bergen Station, connectsTo, Arna Station]
-
A.
Mysen Station
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
-
B.
Harestua Station
Harestua Station is a railway station serving the village of Harestua in Lunner, Norway, on the Gjøvik Line.
-
C.
Onda Station
Onda Station is a railway station on the Kodomonokuni Line in Yokohama, Japan, serving local commuter traffic.
-
D.
Ebie Station
Ebie Station is a railway station in Osaka, Japan, served by the JR Tōzai Line and operated by West Japan Railway Company (JR West).
-
E.
Holmlia Station
Holmlia Station is a railway station in Oslo, Norway, serving the residential district of Holmlia and the surrounding Søndre Nordstrand area.
- 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: Arna Station Triple: [Bergen Station, connectsTo, Arna Station]
Generated description
Arna Station is a railway station in Arna, Norway, serving as a key stop on the Bergen Line just east of Bergen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arna Station Target entity description: Arna Station is a railway station in Arna, Norway, serving as a key stop on the Bergen Line just east of Bergen.
-
A.
Mysen Station
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
-
B.
Harestua Station
Harestua Station is a railway station serving the village of Harestua in Lunner, Norway, on the Gjøvik Line.
-
C.
Onda Station
Onda Station is a railway station on the Kodomonokuni Line in Yokohama, Japan, serving local commuter traffic.
-
D.
Ebie Station
Ebie Station is a railway station in Osaka, Japan, served by the JR Tōzai Line and operated by West Japan Railway Company (JR West).
-
E.
Holmlia Station
Holmlia Station is a railway station in Oslo, Norway, serving the residential district of Holmlia and the surrounding Søndre Nordstrand area.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b6150f08190a3738f1eda7fa834 |
completed | April 21, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0975617f48819088ffb7cfb192992d |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a097624dae881909408db5a6ca92f85 |
completed | May 17, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09779306208190bbfee4ca6cb705e8 |
completed | May 17, 2026, 8:08 a.m. |
Created at: April 16, 2026, 2:53 p.m.