Triple
T4675096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piove di Sacco |
E103658
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Arzerello
Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
|
E462511
|
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: Arzerello | Statement: [Piove di Sacco, hasSubdivision, Arzerello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arzerello Context triple: [Piove di Sacco, hasSubdivision, Arzerello]
-
A.
Zoncolan
Zoncolan is a notoriously steep mountain in the Italian Alps, famous as one of the toughest climbs in professional road cycling.
-
B.
Ornavasso
Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
-
C.
Lomazzo
Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
-
D.
Val di Fassa
Val di Fassa is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and hiking opportunities.
-
E.
Alagna Valsesia
Alagna Valsesia is a mountain village and ski resort in Italy’s Piedmont region, renowned as a gateway to Monte Rosa and high-altitude alpine climbing.
- 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: Arzerello Triple: [Piove di Sacco, hasSubdivision, Arzerello]
Generated description
Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arzerello Target entity description: Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern Italy.
-
A.
Zoncolan
Zoncolan is a notoriously steep mountain in the Italian Alps, famous as one of the toughest climbs in professional road cycling.
-
B.
Ornavasso
Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
-
C.
Lomazzo
Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
-
D.
Val di Fassa
Val di Fassa is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and hiking opportunities.
-
E.
Alagna Valsesia
Alagna Valsesia is a mountain village and ski resort in Italy’s Piedmont region, renowned as a gateway to Monte Rosa and high-altitude alpine climbing.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63544f68819084311416402696b0 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be039c4c58819099e93e01badbade5 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be0761fd8081909a078e5e526cb03c |
completed | March 21, 2026, 2:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be07be0d1c8190b9ae7313e8151be9 |
completed | March 21, 2026, 2:51 a.m. |
Created at: March 20, 2026, 1:15 p.m.