Triple
T2485129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemnitz–Annaberg-Buchholz railway |
E55907
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Thalheim (Erzgebirge)
Thalheim (Erzgebirge) is a small town in the Ore Mountains region of Saxony, Germany.
|
E271105
|
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: Thalheim (Erzgebirge) | Statement: [Chemnitz–Annaberg-Buchholz railway, hasStation, Thalheim (Erzgebirge)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalheim (Erzgebirge) Context triple: [Chemnitz–Annaberg-Buchholz railway, hasStation, Thalheim (Erzgebirge)]
-
A.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
B.
Senftenberg
Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
-
C.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
D.
Herzberg am Harz
Herzberg am Harz is a small town in Lower Saxony, Germany, located on the southern edge of the Harz Mountains and known for its historic castle and timber-framed architecture.
-
E.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
- 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: Thalheim (Erzgebirge) Triple: [Chemnitz–Annaberg-Buchholz railway, hasStation, Thalheim (Erzgebirge)]
Generated description
Thalheim (Erzgebirge) is a small town in the Ore Mountains region of Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thalheim (Erzgebirge) Target entity description: Thalheim (Erzgebirge) is a small town in the Ore Mountains region of Saxony, Germany.
-
A.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
B.
Senftenberg
Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
-
C.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
D.
Herzberg am Harz
Herzberg am Harz is a small town in Lower Saxony, Germany, located on the southern edge of the Harz Mountains and known for its historic castle and timber-framed architecture.
-
E.
Zwönitz
Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd175f5ac8190870db9c6cb8e45bd |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17ba433481908eccda5c6c6246be |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1bbf545081908e1e51b5c7e4a196 |
completed | March 9, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1c9c35648190bdeab34ce4032d26 |
completed | March 9, 2026, 7:16 p.m. |
Created at: March 6, 2026, 9:45 p.m.