Triple
T10711669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höxter |
E252551
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Ovenhausen
Ovenhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
|
E880989
|
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: Ovenhausen | Statement: [Höxter, hasSubdivision, Ovenhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ovenhausen Context triple: [Höxter, hasSubdivision, Ovenhausen]
-
A.
Arzdorf
Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Urdorf
Urdorf is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
-
C.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
D.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
E.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of 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: Ovenhausen Triple: [Höxter, hasSubdivision, Ovenhausen]
Generated description
Ovenhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ovenhausen Target entity description: Ovenhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
A.
Arzdorf
Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Urdorf
Urdorf is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
-
C.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
D.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
E.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe523de08190a82c8f057fe8baf6 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99917df2c819099be2a9b9c4a2ce7 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e8632688190b3746649a124ca09 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.