Triple

T15250604
Position Surface form Disambiguated ID Type / Status
Subject Trenord E364507 entity
Predicate operatesOnInfrastructureOf P6820 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: [Trenord, operatesOnInfrastructureOf, Ferrovienord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferrovienord
Context triple: [Trenord, operatesOnInfrastructureOf, 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. Iltiosbahn
    Iltiosbahn is a Swiss cable car line that transports passengers from Alt St. Johann up into the surrounding mountain area of the Toggenburg region.
  • D. Rata
    Rata is the Spanish nickname for the Soviet Polikarpov I-16, a pioneering monoplane fighter aircraft widely used during the Spanish Civil War.
  • E. 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.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f62b9c8190b9ad40e2d1912b63 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.