Triple
T2400206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Verviers |
E47747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
|
E329000
|
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: Plombières | Statement: [Arrondissement of Verviers, contains, Plombières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plombières Context triple: [Arrondissement of Verviers, contains, Plombières]
-
A.
Montbéliard
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
-
B.
Pougny
Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
-
C.
Charolles
Charolles is a small historic town in eastern France, known as the traditional capital of the Charolais cattle-breeding region.
-
D.
Saint-Véran
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
-
E.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
- 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: Plombières Triple: [Arrondissement of Verviers, contains, Plombières]
Generated description
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plombières Target entity description: Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
A.
Montbéliard
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
-
B.
Pougny
Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
-
C.
Charolles
Charolles is a small historic town in eastern France, known as the traditional capital of the Charolais cattle-breeding region.
-
D.
Saint-Véran
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
-
E.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
- 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_69b20f1e61308190be9604bce0be83d2 |
completed | March 12, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69b210ea15788190aa00dcfaabcca47a |
completed | March 12, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2117703b08190acb25f3f96469a1e |
completed | March 12, 2026, 1:05 a.m. |
Created at: March 4, 2026, 7:57 p.m.