Triple
T15078275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riesa |
E380063
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Villers-la-Montagne
Villers-la-Montagne is a small commune in northeastern France, likely in the Meurthe-et-Moselle department, known for its local rural character and European town twinning links.
|
E1151978
|
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: Villers-la-Montagne | Statement: [Riesa, twinTown, Villers-la-Montagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villers-la-Montagne Context triple: [Riesa, twinTown, Villers-la-Montagne]
-
A.
Villers-le-Bouillet
Villers-le-Bouillet is a municipality in the province of Liège in Wallonia, Belgium.
-
B.
Bois-de-Villers
Bois-de-Villers is a village in the municipality of Jalhay in the Walloon region of Belgium, known for its rural setting in the Ardennes.
-
C.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
D.
Villers-le-Peuplier
Villers-le-Peuplier is a village in the municipality of Hannut in the province of Liège, Belgium.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- 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: Villers-la-Montagne Triple: [Riesa, twinTown, Villers-la-Montagne]
Generated description
Villers-la-Montagne is a small commune in northeastern France, likely in the Meurthe-et-Moselle department, known for its local rural character and European town twinning links.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villers-la-Montagne Target entity description: Villers-la-Montagne is a small commune in northeastern France, likely in the Meurthe-et-Moselle department, known for its local rural character and European town twinning links.
-
A.
Villers-le-Bouillet
Villers-le-Bouillet is a municipality in the province of Liège in Wallonia, Belgium.
-
B.
Bois-de-Villers
Bois-de-Villers is a village in the municipality of Jalhay in the Walloon region of Belgium, known for its rural setting in the Ardennes.
-
C.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
D.
Villers-le-Peuplier
Villers-le-Peuplier is a village in the municipality of Hannut in the province of Liège, Belgium.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d6ddbc81908b010a54ee728dfe |
completed | May 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ff0292e8288190bc46eaf4db57424b |
completed | May 9, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff043582fc8190a819de8b2e2d8d40 |
completed | May 9, 2026, 9:53 a.m. |
Created at: April 10, 2026, 3:03 a.m.