Triple
T16732084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anhalt Railway |
E406615
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Roßlau
Roßlau is a town in the German state of Saxony-Anhalt, now part of the city of Dessau-Roßlau, known historically as a regional railway and industrial hub.
|
E1249017
|
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: Roßlau | Statement: [Anhalt Railway, connects, Roßlau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roßlau Context triple: [Anhalt Railway, connects, Roßlau]
-
A.
Roßleben
Roßleben is a small town in the Unstrut valley of central Germany, known for its historic monastery and long-standing educational traditions.
-
B.
Weinböhla
Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
-
C.
Löbau
Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
-
D.
Gieselau
Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
-
E.
Glauchau
Glauchau is a town in the Free State of Saxony in eastern Germany, known for its historic castles and location in the industrial region of Zwickau.
- 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: Roßlau Triple: [Anhalt Railway, connects, Roßlau]
Generated description
Roßlau is a town in the German state of Saxony-Anhalt, now part of the city of Dessau-Roßlau, known historically as a regional railway and industrial hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roßlau Target entity description: Roßlau is a town in the German state of Saxony-Anhalt, now part of the city of Dessau-Roßlau, known historically as a regional railway and industrial hub.
-
A.
Roßleben
Roßleben is a small town in the Unstrut valley of central Germany, known for its historic monastery and long-standing educational traditions.
-
B.
Weinböhla
Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
-
C.
Löbau
Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
-
D.
Gieselau
Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
-
E.
Glauchau
Glauchau is a town in the Free State of Saxony in eastern Germany, known for its historic castles and location in the industrial region of Zwickau.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ec7a4a48190802061e5cd634ea3 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a0130716ad08190a05ac03f60076b11 |
completed | May 11, 2026, 1:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130dbe1f8819095b2d36882bf3287 |
completed | May 11, 2026, 1:29 a.m. |
Created at: April 10, 2026, 5:20 a.m.