Triple
T13113859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panketal |
E311041
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Röntgental station
Röntgental station is a local railway stop serving the village of Röntgental in the municipality of Panketal, Brandenburg, Germany.
|
E1021837
|
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: Röntgental station | Statement: [Panketal, hasRailwayStation, Röntgental station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Röntgental station Context triple: [Panketal, hasRailwayStation, Röntgental station]
-
A.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
B.
Rommen station
Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
-
C.
Vestli station
Vestli station is an Oslo Metro rapid transit station located in the Vestli neighborhood in the Stovner borough of Oslo, Norway.
-
D.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
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: Röntgental station Triple: [Panketal, hasRailwayStation, Röntgental station]
Generated description
Röntgental station is a local railway stop serving the village of Röntgental in the municipality of Panketal, Brandenburg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Röntgental station Target entity description: Röntgental station is a local railway stop serving the village of Röntgental in the municipality of Panketal, Brandenburg, Germany.
-
A.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
B.
Rommen station
Rommen station is a metro stop in Oslo, Norway, located in the Groruddalen area and integrated into the city's rapid transit network.
-
C.
Vestli station
Vestli station is an Oslo Metro rapid transit station located in the Vestli neighborhood in the Stovner borough of Oslo, Norway.
-
D.
Linderud station
Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
-
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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27f5c4481909bc323c9d0c83dc9 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e32bf5508190b4dc58971f8f64d0 |
completed | May 3, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e40a13c8819084daf9b77b46a181 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.