Triple
T12420739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeneuve-Saint-Georges |
E296761
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Azzate
Azzate is a small municipality in the Province of Varese in the Lombardy region of northern Italy.
|
E980427
|
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: Azzate | Statement: [Villeneuve-Saint-Georges, hasTwinTown, Azzate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azzate Context triple: [Villeneuve-Saint-Georges, hasTwinTown, Azzate]
-
A.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
-
B.
Valmadrera
Valmadrera is a town and comune in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic mountainous surroundings.
-
C.
Tortona
Tortona is a historic town in the Piedmont region of northern Italy, known for its medieval architecture and strategic location between Milan and Genoa.
-
D.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
-
E.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
- 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: Azzate Triple: [Villeneuve-Saint-Georges, hasTwinTown, Azzate]
Generated description
Azzate is a small municipality in the Province of Varese in the Lombardy region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azzate Target entity description: Azzate is a small municipality in the Province of Varese in the Lombardy region of northern Italy.
-
A.
Segrate
Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
-
B.
Valmadrera
Valmadrera is a town and comune in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic mountainous surroundings.
-
C.
Tortona
Tortona is a historic town in the Piedmont region of northern Italy, known for its medieval architecture and strategic location between Milan and Genoa.
-
D.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
-
E.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634933b9881909fd592ede7c3e49c |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f6356c21908190b34d1324da8f8052 |
completed | May 2, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63693f5c881909a9683a0c6a68739 |
completed | May 2, 2026, 5:38 p.m. |
Created at: April 8, 2026, 9:55 p.m.