Triple
T1002074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallonia |
E21626
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Verviers
Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
|
E176726
|
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: Verviers | Statement: [Wallonia, containsCity, Verviers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verviers Context triple: [Wallonia, containsCity, Verviers]
-
A.
Porrentruy
Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
-
B.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
C.
Wavre
Wavre is a town in central Belgium that serves as the capital of Walloon Brabant and is known for hosting the Walibi Belgium amusement park.
-
D.
Vandoeuvres
Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
-
E.
Namur
Namur is a historic Belgian city and the capital of Wallonia, located at the confluence of the Meuse and Sambre rivers.
- 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: Verviers Triple: [Wallonia, containsCity, Verviers]
Generated description
Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verviers Target entity description: Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
-
A.
Porrentruy
Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
-
B.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
C.
Wavre
Wavre is a town in central Belgium that serves as the capital of Walloon Brabant and is known for hosting the Walibi Belgium amusement park.
-
D.
Vandoeuvres
Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
-
E.
Namur
Namur is a historic Belgian city and the capital of Wallonia, located at the confluence of the Meuse and Sambre rivers.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fcbc04819098d2125518f62ae7 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36f094888190b3ccb2acb266941c |
completed | March 8, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69ad379a29508190830c885a4bd51445 |
completed | March 8, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad381cfcf0819093672775ec792c29 |
completed | March 8, 2026, 8:49 a.m. |
Created at: March 1, 2026, 7:41 p.m.