Triple
T16245141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lugano District |
E394351
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vernate
Vernate is a small Swiss municipality in the canton of Ticino, located near Lake Lugano in the Italian-speaking region of southern Switzerland.
|
E1203086
|
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: Vernate | Statement: [Lugano District, contains, Vernate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vernate Context triple: [Lugano District, contains, Vernate]
-
A.
Vimercate
Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
-
B.
Novedrate
Novedrate is a small municipality in the Province of Como in the Lombardy region of northern Italy.
-
C.
Tremezzo
Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
-
D.
Sezze
Sezze is a historic town in the Lazio region of central Italy, known for its ancient origins and hilltop setting overlooking the Pontine plain.
-
E.
Vergiate
Vergiate is a town in the Lombardy region of northern Italy known for its significant aerospace and helicopter manufacturing facilities.
- 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: Vernate Triple: [Lugano District, contains, Vernate]
Generated description
Vernate is a small Swiss municipality in the canton of Ticino, located near Lake Lugano in the Italian-speaking region of southern Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vernate Target entity description: Vernate is a small Swiss municipality in the canton of Ticino, located near Lake Lugano in the Italian-speaking region of southern Switzerland.
-
A.
Vimercate
Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
-
B.
Novedrate
Novedrate is a small municipality in the Province of Como in the Lombardy region of northern Italy.
-
C.
Tremezzo
Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
-
D.
Sezze
Sezze is a historic town in the Lazio region of central Italy, known for its ancient origins and hilltop setting overlooking the Pontine plain.
-
E.
Vergiate
Vergiate is a town in the Lombardy region of northern Italy known for its significant aerospace and helicopter manufacturing facilities.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24561d250819096f709ea8751fcb9 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee135b881909cc1b6919bc7af29 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a00132b0ca4819080f45f929ac39eca |
completed | May 10, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00138ca1b48190bd7d79699b9e2114 |
completed | May 10, 2026, 5:11 a.m. |
Created at: April 10, 2026, 5:04 a.m.