Triple
T15947614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauingen |
E386724
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Frauenriedhausen
Frauenriedhausen is a small village and district of the town of Lauingen in the Bavarian region of Germany.
|
E1184330
|
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: Frauenriedhausen | Statement: [Lauingen, hasSubdivision, Frauenriedhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frauenriedhausen Context triple: [Lauingen, hasSubdivision, Frauenriedhausen]
-
A.
Niedernhausen
Niedernhausen is a municipality in the Rheingau-Taunus district of Hesse, Germany, known for its wooded surroundings in the Taunus hills and convenient rail and road links to Wiesbaden and Frankfurt.
-
B.
Rüdenhausen
Rüdenhausen is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
C.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
D.
Eddigehausen
Eddigehausen is a village in Lower Saxony, Germany, that forms part of the municipality of Bovenden in the Göttingen district.
-
E.
Schneringhausen
Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
- 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: Frauenriedhausen Triple: [Lauingen, hasSubdivision, Frauenriedhausen]
Generated description
Frauenriedhausen is a small village and district of the town of Lauingen in the Bavarian region of Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frauenriedhausen Target entity description: Frauenriedhausen is a small village and district of the town of Lauingen in the Bavarian region of Germany.
-
A.
Niedernhausen
Niedernhausen is a municipality in the Rheingau-Taunus district of Hesse, Germany, known for its wooded surroundings in the Taunus hills and convenient rail and road links to Wiesbaden and Frankfurt.
-
B.
Rüdenhausen
Rüdenhausen is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
-
C.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
D.
Eddigehausen
Eddigehausen is a village in Lower Saxony, Germany, that forms part of the municipality of Bovenden in the Göttingen district.
-
E.
Schneringhausen
Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d2fda8819085279d2a0f8a02ab |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5c0c8a481908aa7a40bca15e38e |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6d3bc6c81909e4bbedeea557615 |
completed | May 9, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7364cf88190b0930af7768dc429 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:53 a.m.