Triple
T23215873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troisdorf |
E580736
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Kriegsdorf
Kriegsdorf is a district of the city of Troisdorf in North Rhine-Westphalia, Germany, characterized by its residential neighborhoods and local community amenities.
|
E1576591
|
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: Kriegsdorf | Statement: [Troisdorf, hasDistrict, Kriegsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kriegsdorf Context triple: [Troisdorf, hasDistrict, Kriegsdorf]
-
A.
Kesselsdorf
Kesselsdorf is a village in Saxony, Germany, historically notable as the site of a major battle during the Second Silesian War.
-
B.
Lengsdorf
Lengsdorf is a district of the Bonn borough of Hardtberg in Germany, known for its residential character and proximity to both urban amenities and surrounding green areas.
-
C.
Fritzdorf
Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
-
D.
Siegsdorf
Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
-
E.
Gaildorf
Gaildorf is a small town in the German state of Baden-Württemberg, situated in the Kocher River valley and known for its historic center and surrounding rural 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: Kriegsdorf Triple: [Troisdorf, hasDistrict, Kriegsdorf]
Generated description
Kriegsdorf is a district of the city of Troisdorf in North Rhine-Westphalia, Germany, characterized by its residential neighborhoods and local community amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kriegsdorf Target entity description: Kriegsdorf is a district of the city of Troisdorf in North Rhine-Westphalia, Germany, characterized by its residential neighborhoods and local community amenities.
-
A.
Kesselsdorf
Kesselsdorf is a village in Saxony, Germany, historically notable as the site of a major battle during the Second Silesian War.
-
B.
Lengsdorf
Lengsdorf is a district of the Bonn borough of Hardtberg in Germany, known for its residential character and proximity to both urban amenities and surrounding green areas.
-
C.
Fritzdorf
Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
-
D.
Siegsdorf
Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
-
E.
Gaildorf
Gaildorf is a small town in the German state of Baden-Württemberg, situated in the Kocher River valley and known for its historic center and surrounding rural 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191646c548190a3f7150f0c253dc1 |
completed | April 29, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f4ffc3c8190a971bc5e7d362ae2 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c405be1188190b6622665e448bbe7 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40c6562481908689eca2a4997115 |
completed | May 19, 2026, 10:51 a.m. |
Created at: April 17, 2026, 4:08 p.m.