Triple
T14495610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnsberg |
E359488
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Holzen
Holzen is a district within the city of Arnsberg in North Rhine-Westphalia, Germany, known primarily as a residential area surrounded by forested Sauerland countryside.
|
E1103672
|
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: Holzen | Statement: [Arnsberg, hasSubdivision, Holzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holzen Context triple: [Arnsberg, hasSubdivision, Holzen]
-
A.
Holzgau
Holzgau is a picturesque alpine village in the Austrian state of Tyrol, known for its traditional wooden houses, scenic mountain surroundings, and popular hiking and skiing opportunities.
-
B.
Walzenhausen
Walzenhausen is a Swiss village and municipality in the canton of Appenzell Ausserrhoden, known for its scenic location above Lake Constance and views over the Rhine Valley.
-
C.
Zusenhofen
Zusenhofen is a village and district within the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
-
D.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Hohenstein
Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern 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: Holzen Triple: [Arnsberg, hasSubdivision, Holzen]
Generated description
Holzen is a district within the city of Arnsberg in North Rhine-Westphalia, Germany, known primarily as a residential area surrounded by forested Sauerland countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holzen Target entity description: Holzen is a district within the city of Arnsberg in North Rhine-Westphalia, Germany, known primarily as a residential area surrounded by forested Sauerland countryside.
-
A.
Holzgau
Holzgau is a picturesque alpine village in the Austrian state of Tyrol, known for its traditional wooden houses, scenic mountain surroundings, and popular hiking and skiing opportunities.
-
B.
Walzenhausen
Walzenhausen is a Swiss village and municipality in the canton of Appenzell Ausserrhoden, known for its scenic location above Lake Constance and views over the Rhine Valley.
-
C.
Zusenhofen
Zusenhofen is a village and district within the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
-
D.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Hohenstein
Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9731588190b27a826582e5fc6d |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f80e3a081908c43915275898852 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7016a3c48190a1ea2fefeea92c60 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:21 a.m.