Triple
T18113429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinstra |
E433537
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Vinstra Station
Vinstra Station is a railway station in the town of Vinstra in Innlandet county, Norway, serving as a stop on the Dovre Line.
|
E1312287
|
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: Vinstra Station | Statement: [Vinstra, hasRailwayStation, Vinstra Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinstra Station Context triple: [Vinstra, hasRailwayStation, Vinstra Station]
-
A.
Lunner Station
Lunner Station is a local railway station in Lunner, Norway, serving regional passenger traffic on the Gjøvik Line.
-
B.
Stange Station
Stange Station is a railway station serving the village of Stange in Innlandet county, Norway, providing regional and intercity train connections.
-
C.
Voss Station
Voss Station is a railway station in the village of Voss in Vestland county, Norway, serving as a stop on the Bergen Line between Bergen and Oslo.
-
D.
Tyristrand Station
Tyristrand Station is a railway station in Tyristrand, Norway, serving passengers on the historic Randsfjord Line.
-
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: Vinstra Station Triple: [Vinstra, hasRailwayStation, Vinstra Station]
Generated description
Vinstra Station is a railway station in the town of Vinstra in Innlandet county, Norway, serving as a stop on the Dovre Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vinstra Station Target entity description: Vinstra Station is a railway station in the town of Vinstra in Innlandet county, Norway, serving as a stop on the Dovre Line.
-
A.
Lunner Station
Lunner Station is a local railway station in Lunner, Norway, serving regional passenger traffic on the Gjøvik Line.
-
B.
Stange Station
Stange Station is a railway station serving the village of Stange in Innlandet county, Norway, providing regional and intercity train connections.
-
C.
Voss Station
Voss Station is a railway station in the village of Voss in Vestland county, Norway, serving as a stop on the Bergen Line between Bergen and Oslo.
-
D.
Tyristrand Station
Tyristrand Station is a railway station in Tyristrand, Norway, serving passengers on the historic Randsfjord Line.
-
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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039efe4cdc81909f07ed7e74d6233a |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fa823ec8190acb9f399d20800c8 |
completed | May 12, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a07a59f88190a7ddd5b612d1575a |
completed | May 12, 2026, 9:49 p.m. |
Created at: April 10, 2026, 10:28 a.m.