Triple

T10035078
Position Surface form Disambiguated ID Type / Status
Subject Naviglio della Martesana E204944 entity
Predicate region P40 FINISHED
Object Martesana
Martesana is a historical area in the northeastern part of the Milan metropolitan region in Lombardy, Italy, known for its network of canals, rural landscapes, and suburban towns.
 E837943 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: Martesana | Statement: [Naviglio della Martesana, region, Martesana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martesana
Context triple: [Naviglio della Martesana, region, Martesana]
  • A. Frescati
    Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
  • B. Enza
    Enza is a river in northern Italy that flows through the Emilia-Romagna region before joining the Secchia.
  • C. Apricale
    Apricale is a picturesque medieval hilltop village in the Ligurian region of northwestern Italy, known for its stone houses, narrow alleys, and scenic views.
  • D. Priola
    Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
  • E. 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.
  • 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: Martesana
Triple: [Naviglio della Martesana, region, Martesana]
Generated description
Martesana is a historical area in the northeastern part of the Milan metropolitan region in Lombardy, Italy, known for its network of canals, rural landscapes, and suburban towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martesana
Target entity description: Martesana is a historical area in the northeastern part of the Milan metropolitan region in Lombardy, Italy, known for its network of canals, rural landscapes, and suburban towns.
  • A. Frescati
    Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
  • B. Enza
    Enza is a river in northern Italy that flows through the Emilia-Romagna region before joining the Secchia.
  • C. Apricale
    Apricale is a picturesque medieval hilltop village in the Ligurian region of northwestern Italy, known for its stone houses, narrow alleys, and scenic views.
  • D. Priola
    Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
  • E. 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.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4a515c8190baec86d924623b12 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28258ab088190a31ad5854d91193b completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d2867128ec8190a91cfc9def68c2be completed April 5, 2026, 3:57 p.m.
NED2 Entity disambiguation (via description) batch_69d286fdd2c88190b0ce5070c7875dcc completed April 5, 2026, 3:59 p.m.
Created at: March 30, 2026, 8:55 p.m.