Triple
T3533329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seveso |
E74711
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
|
E366252
|
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: Varedo | Statement: [Seveso, flowsThrough, Varedo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varedo Context triple: [Seveso, flowsThrough, Varedo]
-
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.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
C.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
D.
Vico
Vico was an Italian Enlightenment philosopher and historian best known for his pioneering ideas on the cyclical nature of history and the role of culture in shaping human knowledge.
-
E.
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.
- 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: Varedo Triple: [Seveso, flowsThrough, Varedo]
Generated description
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varedo Target entity description: Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
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.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
C.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
D.
Vico
Vico was an Italian Enlightenment philosopher and historian best known for his pioneering ideas on the cyclical nature of history and the role of culture in shaping human knowledge.
-
E.
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.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9b945481909867d44b810e8b1f |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e9a2b848190a5c2b3072fa6c44c |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37f07ab70819089fdb7083b81b992 |
completed | March 13, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38078bc288190b69d73a64acce8ca |
completed | March 13, 2026, 3:11 a.m. |
Created at: March 8, 2026, 3:19 p.m.