Triple
T15968729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinhagen (Westphalia) |
E387264
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Amshausen
Amshausen is a locality within the municipality of Steinhagen in the Westphalia region of Germany, characterized by its residential and semi-rural setting.
|
E1200753
|
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: Amshausen | Statement: [Steinhagen (Westphalia), hasSubdivision, Amshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amshausen Context triple: [Steinhagen (Westphalia), hasSubdivision, Amshausen]
-
A.
Neuhausen
Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
-
B.
Altshausen
Altshausen is a small historic town in the German state of Baden-Württemberg, known for its former ducal residence and picturesque setting in Upper Swabia.
-
C.
Geroldswil
Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
-
D.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
E.
Antdorf
Antdorf is a small rural municipality in Upper Bavaria, Germany, known for its traditional Bavarian character and scenic Alpine foothill landscape.
- 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: Amshausen Triple: [Steinhagen (Westphalia), hasSubdivision, Amshausen]
Generated description
Amshausen is a locality within the municipality of Steinhagen in the Westphalia region of Germany, characterized by its residential and semi-rural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amshausen Target entity description: Amshausen is a locality within the municipality of Steinhagen in the Westphalia region of Germany, characterized by its residential and semi-rural setting.
-
A.
Neuhausen
Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
-
B.
Altshausen
Altshausen is a small historic town in the German state of Baden-Württemberg, known for its former ducal residence and picturesque setting in Upper Swabia.
-
C.
Geroldswil
Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
-
D.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
E.
Antdorf
Antdorf is a small rural municipality in Upper Bavaria, Germany, known for its traditional Bavarian character and scenic Alpine foothill landscape.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077a54c88190ab94a558bfaecf2f |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a0009f631e08190aae358edc9ffad6b |
completed | May 10, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a6de0488190ac72fb9eee9ec531 |
completed | May 10, 2026, 4:32 a.m. |
Created at: April 10, 2026, 4:54 a.m.