Triple
T11607865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariano Comense |
E275307
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Seregno
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
|
E952680
|
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: Seregno | Statement: [Mariano Comense, locatedNear, Seregno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seregno Context triple: [Mariano Comense, locatedNear, Seregno]
-
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.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
C.
Novedrate
Novedrate is a small municipality in the Province of Como in the Lombardy region of northern Italy.
-
D.
Rieti
Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
-
E.
Cotignola
Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
- 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: Seregno Triple: [Mariano Comense, locatedNear, Seregno]
Generated description
Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seregno Target entity description: Seregno is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to Milan.
-
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.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
C.
Novedrate
Novedrate is a small municipality in the Province of Como in the Lombardy region of northern Italy.
-
D.
Rieti
Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
-
E.
Cotignola
Cotignola is a small Italian town in the Emilia-Romagna region, known for its historic center and agricultural surroundings.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89551649c81908096ff392677442d |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4171833948190adafe71ab0d9d2de |
completed | May 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69f41f16f43c81909f5d36e8b4b0b9c3 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4225a4b5c8190958aaddbd10035b1 |
completed | May 1, 2026, 3:47 a.m. |
Created at: April 8, 2026, 9:38 p.m.