Triple

T8066720
Position Surface form Disambiguated ID Type / Status
Subject Milano Porta Garibaldi station E188260 entity
Predicate servedBy P82 FINISHED
Object Trenord E364507 NE FINISHED

How this triple was built (2 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: Trenord | Statement: [Milano Porta Garibaldi station, servedBy, Trenord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trenord
Context triple: [Milano Porta Garibaldi station, servedBy, Trenord]
  • A. Trenord chosen
    Trenord is a regional railway company operating passenger train services across Lombardy in northern Italy.
  • B. South Shore Line
    The South Shore Line is an electric commuter rail service connecting Chicago with communities in northern Indiana, including Gary.
  • C. North Shore Line
    North Shore Line was an interurban electric railway that operated between Chicago and Milwaukee, known for its high-speed service and distinctive green-and-cream trains.
  • D. Amtrak
    Amtrak is the United States’ national passenger railroad service, operating intercity and long-distance trains across much of the country.
  • E. Metra
    Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff75d208190b7c53d2fe55878ac completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e1ed44819083ed9db6c9d7b0fd completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.