Triple

T4120318
Position Surface form Disambiguated ID Type / Status
Subject Giro di Lombardia E92594 entity
Predicate traditionalStartCity P22794 FINISHED
Object Milan E11464 NE FINISHED

How this triple was built (3 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: Milan | Statement: [Giro di Lombardia, traditionalStartCity, Milan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milan
Context triple: [Giro di Lombardia, traditionalStartCity, Milan]
  • A. Milan chosen
    Milan is a major Italian metropolis renowned as a global center for fashion, design, finance, and culture.
  • B. Milan
    Milan is a village in northern Ohio best known as the birthplace of inventor Thomas Edison and for its historic canal-era architecture.
  • C. Milano
    Milano is a popular line of chocolate-filled sandwich cookies produced by Pepperidge Farm, a subsidiary of Campbell Soup Company.
  • D. 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.
  • E. Metropolitan City of Milan
    The Metropolitan City of Milan is an Italian administrative region centered on the city of Milan, encompassing its surrounding municipalities and serving as a major hub for finance, fashion, industry, and transportation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalStartCity
Context triple: [Giro di Lombardia, traditionalStartCity, Milan]
  • A. startCity chosen
    Indicates the city where a journey, route, or transportation service begins.
  • B. city1
    Indicates that the subject is classified as a city.
  • C. clubCity
    Indicates that a club is based in or associated with a particular city.
  • D. servesAsFocusCityFor
    Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
  • E. destinationCity
    Indicates the city to which an entity is traveling, being sent, or ultimately directed.
  • F. None of above.

Provenance (4 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0246e40081908ad6741a830ca68e completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576ae8ef08190ba2adcbd2bbe8d35 completed March 14, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69af01867698819098e4144634b2ec4f completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:41 p.m.