Triple
T11607864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariano Comense |
E275307
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Giussano
Giussano is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to other municipalities in the Brianza area.
|
E951269
|
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: Giussano | Statement: [Mariano Comense, locatedNear, Giussano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giussano Context triple: [Mariano Comense, locatedNear, Giussano]
-
A.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
B.
Fasano
Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
-
C.
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.
-
D.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
-
E.
Massalengo
Massalengo is a municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
- 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: Giussano Triple: [Mariano Comense, locatedNear, Giussano]
Generated description
Giussano is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to other municipalities in the Brianza area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giussano Target entity description: Giussano is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to other municipalities in the Brianza area.
-
A.
Loiano
Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
-
B.
Fasano
Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
-
C.
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.
-
D.
Vezzola
Vezzola is a river in the Abruzzo region of central Italy that flows through the city of Teramo.
-
E.
Massalengo
Massalengo is a municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
- 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_69f28092eb108190be203276e7dfa4b5 |
completed | April 29, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69f28a8e64ac8190ba7637fd00e024bd |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28d4e341c8190abc8febc3b26a617 |
completed | April 29, 2026, 10:59 p.m. |
Created at: April 8, 2026, 9:38 p.m.