Triple
T6787577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werder (Havel) |
E155848
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Rahden
Rahden is a small town in North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian heritage.
|
E619368
|
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: Rahden | Statement: [Werder (Havel), twinTown, Rahden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahden Context triple: [Werder (Havel), twinTown, Rahden]
-
A.
Rheinberg
Rheinberg is a historic town in western Germany, situated on the Lower Rhine and known for its medieval architecture and role in various European military conflicts.
-
B.
Badeloch
Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
-
C.
Rhenen
Rhenen is a historic town and municipality in the central Netherlands, known for its scenic location along the Rhine and landmarks such as the Cunera Church and Ouwehands Zoo.
-
D.
Raalte
Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
-
E.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
- 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: Rahden Triple: [Werder (Havel), twinTown, Rahden]
Generated description
Rahden is a small town in North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rahden Target entity description: Rahden is a small town in North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian heritage.
-
A.
Rheinberg
Rheinberg is a historic town in western Germany, situated on the Lower Rhine and known for its medieval architecture and role in various European military conflicts.
-
B.
Badeloch
Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
-
C.
Rhenen
Rhenen is a historic town and municipality in the central Netherlands, known for its scenic location along the Rhine and landmarks such as the Cunera Church and Ouwehands Zoo.
-
D.
Raalte
Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
-
E.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a871a84819098891f66c6e5b579 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b6b87d8819085e6ae122f042626 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c00f86c819099ef6ae0766e9f3a |
completed | March 28, 2026, 12:08 a.m. |
Created at: March 27, 2026, 2:14 p.m.