Triple
T2400213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Verviers |
E47747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Welkenraedt
Welkenraedt is a municipality in the province of Liège in eastern Belgium, near the German border.
|
E262741
|
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: Welkenraedt | Statement: [Arrondissement of Verviers, contains, Welkenraedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welkenraedt Context triple: [Arrondissement of Verviers, contains, Welkenraedt]
-
A.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
B.
Thomas von Kantzow
Thomas von Kantzow is the son of Carin Göring, who was the first wife of prominent Nazi leader Hermann Göring.
-
C.
Wilhelm Bittrich
Wilhelm Bittrich was a German Waffen-SS general and panzer corps commander during World War II, noted for his role in major battles on both the Eastern and Western Fronts.
-
D.
Johann Rall
Johann Rall was a Hessian colonel in the British service during the American Revolutionary War, best known for being mortally wounded while leading his troops in the Battle of Trenton in 1776.
-
E.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
- 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: Welkenraedt Triple: [Arrondissement of Verviers, contains, Welkenraedt]
Generated description
Welkenraedt is a municipality in the province of Liège in eastern Belgium, near the German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Welkenraedt Target entity description: Welkenraedt is a municipality in the province of Liège in eastern Belgium, near the German border.
-
A.
Lützow
Lützow was a German heavy cruiser (originally the pocket battleship Deutschland) that served in the Kriegsmarine during World War II.
-
B.
Thomas von Kantzow
Thomas von Kantzow is the son of Carin Göring, who was the first wife of prominent Nazi leader Hermann Göring.
-
C.
Wilhelm Bittrich
Wilhelm Bittrich was a German Waffen-SS general and panzer corps commander during World War II, noted for his role in major battles on both the Eastern and Western Fronts.
-
D.
Johann Rall
Johann Rall was a Hessian colonel in the British service during the American Revolutionary War, best known for being mortally wounded while leading his troops in the Battle of Trenton in 1776.
-
E.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c95d8c819088e4bb4fb32452ae |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e319c481908537fe278f6f0a67 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4b942b08190addc2885fbda0e41 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb557247c8190920ce3a5db388800 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:57 p.m.