Triple
T19492452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Waldshut |
E487684
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Jestetten
Jestetten is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, located near the Swiss border.
|
E1391889
|
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: Jestetten | Statement: [district of Waldshut, containsMunicipality, Jestetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jestetten Context triple: [district of Waldshut, containsMunicipality, Jestetten]
-
A.
Streuben
Streuben is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
-
B.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
C.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
D.
Nideggen
Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
-
E.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
- 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: Jestetten Triple: [district of Waldshut, containsMunicipality, Jestetten]
Generated description
Jestetten is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, located near the Swiss border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jestetten Target entity description: Jestetten is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, located near the Swiss border.
-
A.
Streuben
Streuben is a locality or district that forms part of the town of Wurzen in the German state of Saxony.
-
B.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
C.
Eschbach
Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
D.
Nideggen
Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
-
E.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab80243c819099abba1f7f905187 |
completed | May 15, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_6a07af86e5bc8190ac051b6e4d09e071 |
completed | May 15, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b02b50348190b0ad5cc1657301dc |
completed | May 15, 2026, 11:45 p.m. |
Created at: April 10, 2026, 1:39 p.m.