Triple
T13798580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringsaker |
E331578
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Brumunddal Station
Brumunddal Station is a railway station serving the town of Brumunddal in Ringsaker, Innlandet county, Norway, on the Dovre Line.
|
E1066049
|
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: Brumunddal Station | Statement: [Ringsaker, hasRailwayStation, Brumunddal Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brumunddal Station Context triple: [Ringsaker, hasRailwayStation, Brumunddal Station]
-
A.
Verdal Station
Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
-
B.
Vegårshei Station
Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
-
C.
Bjørnfjell Station
Bjørnfjell Station is a remote railway station in northern Norway near the Swedish border, serving the mountainous area along the Ofoten Line.
-
D.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
E.
Steinkjer Station
Steinkjer Station is a railway station in the town of Steinkjer in Trøndelag county, Norway, serving as a regional transport hub on the Nordland Line.
- 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: Brumunddal Station Triple: [Ringsaker, hasRailwayStation, Brumunddal Station]
Generated description
Brumunddal Station is a railway station serving the town of Brumunddal in Ringsaker, Innlandet county, Norway, on the Dovre Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brumunddal Station Target entity description: Brumunddal Station is a railway station serving the town of Brumunddal in Ringsaker, Innlandet county, Norway, on the Dovre Line.
-
A.
Verdal Station
Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
-
B.
Vegårshei Station
Vegårshei Station is a railway station in Vegårshei, Norway, serving as a local stop on the Sørlandet Line.
-
C.
Bjørnfjell Station
Bjørnfjell Station is a remote railway station in northern Norway near the Swedish border, serving the mountainous area along the Ofoten Line.
-
D.
Rygge Station
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
E.
Steinkjer Station
Steinkjer Station is a railway station in the town of Steinkjer in Trøndelag county, Norway, serving as a regional transport hub on the Nordland Line.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e5251c81909f3f40dcdea1772f |
completed | May 3, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69f7c1e73fb481909f89ab3c0e9fb7d0 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3396f7c8190987079bf24ac8695 |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:11 p.m.