Triple
T7843041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellegarde-sur-Valserine |
E181849
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Verolanuova
Verolanuova is a municipality in northern Italy, located in the Lombardy region, known for its agricultural surroundings and historic town center.
|
E698958
|
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: Verolanuova | Statement: [Bellegarde-sur-Valserine, twinnedWith, Verolanuova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verolanuova Context triple: [Bellegarde-sur-Valserine, twinnedWith, Verolanuova]
-
A.
Velen
Velen is a small town in western Germany’s North Rhine-Westphalia region, known for its rural character and historic buildings.
-
B.
Vallettan
Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
-
C.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
D.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
E.
Torrenova
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
- 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: Verolanuova Triple: [Bellegarde-sur-Valserine, twinnedWith, Verolanuova]
Generated description
Verolanuova is a municipality in northern Italy, located in the Lombardy region, known for its agricultural surroundings and historic town center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verolanuova Target entity description: Verolanuova is a municipality in northern Italy, located in the Lombardy region, known for its agricultural surroundings and historic town center.
-
A.
Velen
Velen is a small town in western Germany’s North Rhine-Westphalia region, known for its rural character and historic buildings.
-
B.
Vallettan
Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
-
C.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
D.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
E.
Torrenova
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163b32688190b463a9cd8fa3c690 |
completed | March 31, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aded4048190b18604963784352c |
completed | March 31, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69cb762dd8348190bf74be4e7f5df1e7 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb24068908190977b266366e5ceea |
completed | March 31, 2026, 11:38 a.m. |
Created at: March 30, 2026, 4:48 p.m.