Triple
T20456639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erkrath |
E501804
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Hochdahl station
Hochdahl station is a railway station in the Hochdahl district of Erkrath, Germany, serving regional and S-Bahn commuter rail services in the North Rhine-Westphalia area.
|
E1433154
|
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: Hochdahl station | Statement: [Erkrath, hasRailwayStation, Hochdahl station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hochdahl station Context triple: [Erkrath, hasRailwayStation, Hochdahl station]
-
A.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
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.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
D.
Marktbreit station
Marktbreit station is a regional railway stop in the town of Marktbreit in Bavaria, Germany, serving local passenger rail services.
-
E.
Wolhusen Station
Wolhusen Station is a railway station serving the municipality of Wolhusen in the canton of Lucerne, Switzerland.
- 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: Hochdahl station Triple: [Erkrath, hasRailwayStation, Hochdahl station]
Generated description
Hochdahl station is a railway station in the Hochdahl district of Erkrath, Germany, serving regional and S-Bahn commuter rail services in the North Rhine-Westphalia area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hochdahl station Target entity description: Hochdahl station is a railway station in the Hochdahl district of Erkrath, Germany, serving regional and S-Bahn commuter rail services in the North Rhine-Westphalia area.
-
A.
Hengst station
Hengst station is a mountain railway terminus serving as the upper endpoint of the Schneeberg line in Lower Austria.
-
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.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
D.
Marktbreit station
Marktbreit station is a regional railway stop in the town of Marktbreit in Bavaria, Germany, serving local passenger rail services.
-
E.
Wolhusen Station
Wolhusen Station is a railway station serving the municipality of Wolhusen in the canton of Lucerne, Switzerland.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b10b6608190a88f466dccf31322 |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c75b09081908a35bc7a9b6a45ce |
completed | May 16, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d8c3ab08190a399dba52e3c99f5 |
completed | May 16, 2026, 3:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.