Triple
T12566861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Westphalia |
E295497
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Versmold
Versmold is a town in the German state of North Rhine-Westphalia, known historically for its meat-processing industry and location between Bielefeld and Osnabrück.
|
E990670
|
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: Versmold | Statement: [Province of Westphalia, containsSettlement, Versmold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versmold Context triple: [Province of Westphalia, containsSettlement, Versmold]
-
A.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
B.
Melchow
Melchow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
-
C.
Velten
Velten is a small town in the German state of Brandenburg, known historically for its stove and ceramics industry and its location just northwest of Berlin.
-
D.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
E.
Biesterfeld
Biesterfeld was a historic estate in the Principality of Lippe that served as the ancestral seat of the Lippe-Biesterfeld noble line.
- 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: Versmold Triple: [Province of Westphalia, containsSettlement, Versmold]
Generated description
Versmold is a town in the German state of North Rhine-Westphalia, known historically for its meat-processing industry and location between Bielefeld and Osnabrück.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Versmold Target entity description: Versmold is a town in the German state of North Rhine-Westphalia, known historically for its meat-processing industry and location between Bielefeld and Osnabrück.
-
A.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
B.
Melchow
Melchow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
-
C.
Velten
Velten is a small town in the German state of Brandenburg, known historically for its stove and ceramics industry and its location just northwest of Berlin.
-
D.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
E.
Biesterfeld
Biesterfeld was a historic estate in the Principality of Lippe that served as the ancestral seat of the Lippe-Biesterfeld noble line.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a325948190994bcfc9d571a3a8 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655914f908190afbebbec3cb57e73 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f657e504c881909b960acc7758b39d |
completed | May 2, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f658a80fd08190b1b8c161ca6e56ec |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 8, 2026, 11:49 p.m.