Triple
T3533331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seveso |
E74711
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Cormano
Cormano is a municipality in the Metropolitan City of Milan in northern Italy, situated in the Lombardy region.
|
E367830
|
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: Cormano | Statement: [Seveso, flowsThrough, Cormano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cormano Context triple: [Seveso, flowsThrough, Cormano]
-
A.
Cantù
Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
-
B.
Campani
The Campani were an ancient Italic people of Campania in southern Italy, known for their prosperous cities and early interactions with both the Greeks and Romans.
-
C.
Ceccano
Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
-
D.
Minturno
Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
-
E.
Ladispoli
Ladispoli is a coastal town in the Lazio region of central Italy, known for its beaches along the Tyrrhenian Sea and proximity to Rome.
- 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: Cormano Triple: [Seveso, flowsThrough, Cormano]
Generated description
Cormano is a municipality in the Metropolitan City of Milan in northern Italy, situated in the Lombardy region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cormano Target entity description: Cormano is a municipality in the Metropolitan City of Milan in northern Italy, situated in the Lombardy region.
-
A.
Cantù
Cantù is a town in the Lombardy region of northern Italy, known for its furniture-making tradition and location near Como.
-
B.
Campani
The Campani were an ancient Italic people of Campania in southern Italy, known for their prosperous cities and early interactions with both the Greeks and Romans.
-
C.
Ceccano
Ceccano is a historic town and comune in the Lazio region of central Italy, situated in the Province of Frosinone along the Sacco River.
-
D.
Minturno
Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
-
E.
Ladispoli
Ladispoli is a coastal town in the Lazio region of central Italy, known for its beaches along the Tyrrhenian Sea and proximity to Rome.
- 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_69b38bcc879c8190ab4ab3e2b67d9a16 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c5cfb608190b451be14246d5481 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38ce0e1688190a7ee3d079fb83f3d |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:19 p.m.