Triple

T17894905
Position Surface form Disambiguated ID Type / Status
Subject Sm6 E447407 entity
Predicate manufacturer P490 FINISHED
Object Fiat Ferroviaria NE NERFINISHED

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: Fiat Ferroviaria | Statement: [Sm6, manufacturer, Fiat Ferroviaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiat Ferroviaria
Context triple: [Sm6, manufacturer, Fiat Ferroviaria]
  • A. Fiat Ferroviaria chosen
    Fiat Ferroviaria was an Italian railway rolling stock manufacturer known for producing trains and rail vehicles used across Europe.
  • B. Fiat-Ansaldo
    Fiat-Ansaldo was an Italian industrial partnership between the Fiat automotive company and the Ansaldo engineering firm that produced armored vehicles and other military equipment before and during World War II.
  • C. Ansaldo
    Ansaldo was a major Italian engineering and manufacturing company best known for producing military vehicles, armaments, and industrial machinery in the 19th and 20th centuries.
  • D. Ferrovie dello Stato Italiane
    Ferrovie dello Stato Italiane is Italy’s state-owned national railway holding company, overseeing passenger and freight rail services as well as rail infrastructure through various subsidiaries.
  • E. Iveco
    Iveco is an Italian multinational company that designs and manufactures commercial vehicles, military vehicles, and diesel engines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7ccf808190b4c1fd477043bcc8 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.