Triple

T7949459
Position Surface form Disambiguated ID Type / Status
Subject Milano Cadorna station E184577 entity
Predicate ownedBy P347 FINISHED
Object Ferrovienord E704594 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: Ferrovienord | Statement: [Milano Cadorna station, ownedBy, Ferrovienord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferrovienord
Context triple: [Milano Cadorna station, ownedBy, Ferrovienord]
  • A. Ferrovienord chosen
    Ferrovienord is an Italian railway infrastructure company that manages and develops regional rail lines and stations in the Lombardy region.
  • B. Attila Line
    The Attila Line is the UN-patrolled buffer zone that divides the island of Cyprus into its northern and southern parts following the 1974 conflict.
  • C. Alberich Line
    The Alberich Line was a German World War I defensive position on the Western Front, forming part of the larger Hindenburg Line system.
  • D. Brunhild Line
    The Brunhild Line was a German World War I defensive position on the Western Front, forming part of the larger Hindenburg Line fortification system.
  • E. Zheleznodorozhny
    Zheleznodorozhny is a small Russian settlement located in Siberia, known for its position along the Kirenga River and its origins as a railway-related community.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2d09a4819097aa49e29a5426ec completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63af95fc81908608dcb0eb7e9893 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:10 p.m.