Triple
T10429033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunner |
E245859
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Harestua Station
Harestua Station is a railway station serving the village of Harestua in Lunner, Norway, on the Gjøvik Line.
|
E1067356
|
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: Harestua Station | Statement: [Lunner, hasRailwayStation, Harestua Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harestua Station Context triple: [Lunner, hasRailwayStation, Harestua Station]
-
A.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
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.
Grua Station
Grua Station is a railway station serving the village of Grua in Lunner municipality in Viken county, Norway.
-
E.
Otaru Station
Otaru Station is a major railway station in Otaru, Hokkaido, Japan, serving as a key hub on the Hakodate Main Line for local and regional train services.
- 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: Harestua Station Triple: [Lunner, hasRailwayStation, Harestua Station]
Generated description
Harestua Station is a railway station serving the village of Harestua in Lunner, Norway, on the Gjøvik Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harestua Station Target entity description: Harestua Station is a railway station serving the village of Harestua in Lunner, Norway, on the Gjøvik Line.
-
A.
Olema Station
Olema Station is the former name of the small coastal town now known as Point Reyes Station in Marin County, California.
-
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.
Grua Station
Grua Station is a railway station serving the village of Grua in Lunner municipality in Viken county, Norway.
-
E.
Otaru Station
Otaru Station is a major railway station in Otaru, Hokkaido, Japan, serving as a key hub on the Hakodate Main Line for local and regional train services.
- 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_69d4ea4b4b5881908ae23f8efeea482b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f1e29c8190b073c3293cf68cb2 |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c7957abc8190966528ba353cfbfa |
completed | May 3, 2026, 10:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c80bc32c8190bd185400bafe00cf |
completed | May 3, 2026, 10:11 p.m. |
Created at: April 6, 2026, 12:13 p.m.