Triple

T15997933
Position Surface form Disambiguated ID Type / Status
Subject A4 motorway E388019 entity
Predicate notableSection P5600 FINISHED
Object Turin–Milan
Turin–Milan is a major Italian motorway corridor linking the cities of Turin and Milan, serving as a key route for regional and national traffic in northern Italy.
 E1188384 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: Turin–Milan | Statement: [A4 motorway, notableSection, Turin–Milan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turin–Milan
Context triple: [A4 motorway, notableSection, Turin–Milan]
  • A. Milano–Torino
    Milano–Torino is a historic one-day professional road cycling race in Italy, regarded as the oldest classic in the sport.
  • B. Turin
    Turin is a major city in northern Italy known for its rich history, Baroque architecture, automotive industry, and role as a cultural and economic hub.
  • C. Turin
    Turin is a small town located in Coweta County in the U.S. state of Georgia.
  • D. Turin
    Turin is the codename for a generation of AMD EPYC server processors based on the Zen 5 architecture, targeting high-performance and data center workloads.
  • E. Turin–Milan–Venice axis
    The Turin–Milan–Venice axis is a major high-speed and conventional rail corridor in northern Italy that links the key economic and industrial centers of Turin, Milan, and Venice.
  • 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: Turin–Milan
Triple: [A4 motorway, notableSection, Turin–Milan]
Generated description
Turin–Milan is a major Italian motorway corridor linking the cities of Turin and Milan, serving as a key route for regional and national traffic in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turin–Milan
Target entity description: Turin–Milan is a major Italian motorway corridor linking the cities of Turin and Milan, serving as a key route for regional and national traffic in northern Italy.
  • A. Milano–Torino
    Milano–Torino is a historic one-day professional road cycling race in Italy, regarded as the oldest classic in the sport.
  • B. Turin
    Turin is a major city in northern Italy known for its rich history, Baroque architecture, automotive industry, and role as a cultural and economic hub.
  • C. Turin
    Turin is a small town located in Coweta County in the U.S. state of Georgia.
  • D. Turin
    Turin is the codename for a generation of AMD EPYC server processors based on the Zen 5 architecture, targeting high-performance and data center workloads.
  • E. Turin–Milan–Venice axis
    The Turin–Milan–Venice axis is a major high-speed and conventional rail corridor in northern Italy that links the key economic and industrial centers of Turin, Milan, and Venice.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157893ebc8190acb75ee05e450fae completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc50688ac8190b0911ce889254af3 completed May 9, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5902904819097a2c5efbde55882 completed May 9, 2026, 11:38 p.m.
Created at: April 10, 2026, 4:55 a.m.