Triple
T17023468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegen-Wittgenstein |
E413003
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wilnsdorf
Wilnsdorf is a municipality in the district of Siegen-Wittgenstein in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Siegen.
|
E1248935
|
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: Wilnsdorf | Statement: [Siegen-Wittgenstein, contains, Wilnsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilnsdorf Context triple: [Siegen-Wittgenstein, contains, Wilnsdorf]
-
A.
Wietzendorf
Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
-
B.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
C.
Teesdorf
Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
-
D.
Ruppersdorf
Ruppersdorf is a small locality in Germany, historically part of East Prussia, known as the birthplace of German general Otto Lasch.
-
E.
Teisendorf
Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
- 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: Wilnsdorf Triple: [Siegen-Wittgenstein, contains, Wilnsdorf]
Generated description
Wilnsdorf is a municipality in the district of Siegen-Wittgenstein in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Siegen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilnsdorf Target entity description: Wilnsdorf is a municipality in the district of Siegen-Wittgenstein in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Siegen.
-
A.
Wietzendorf
Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
-
B.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
C.
Teesdorf
Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
-
D.
Ruppersdorf
Ruppersdorf is a small locality in Germany, historically part of East Prussia, known as the birthplace of German general Otto Lasch.
-
E.
Teisendorf
Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d2abbc81908943becf5f539fc6 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed0b78481909a11c1529db6c1cd |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012f9339d88190a8976240f5b2a8d8 |
completed | May 11, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01301a4fbc8190bbd5b5b9bad814d3 |
completed | May 11, 2026, 1:25 a.m. |
Created at: April 10, 2026, 5:33 a.m.