Triple

T17894956
Position Surface form Disambiguated ID Type / Status
Subject Fiat Ferroviaria E447408 entity
Predicate developed P73 FINISHED
Object ETR 500 power cars 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: ETR 500 power cars | Statement: [Fiat Ferroviaria, developed, ETR 500 power cars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ETR 500 power cars
Context triple: [Fiat Ferroviaria, developed, ETR 500 power cars]
  • A. ETR 500 chosen
    ETR 500 is Italy’s high-speed electric train series designed for fast intercity services on the country’s dedicated high-speed rail network.
  • B. ETR 700
    ETR 700 is a class of high-speed electric multiple unit trains operated by Trenitalia for intercity and Frecciarossa services in Italy.
  • C. ETR 600
    The ETR 600 is a class of Italian high-speed tilting electric multiple unit trains used for fast intercity and international services.
  • D. DE30AC locomotive
    The DE30AC locomotive is a diesel-electric passenger locomotive built by EMD for the Long Island Rail Road, designed for push-pull commuter service with head-end power.
  • E. Amtrak Siemens Charger locomotives
    Amtrak Siemens Charger locomotives are modern, diesel-electric passenger train engines used across various Amtrak routes for higher efficiency, lower emissions, and improved performance compared to older locomotive fleets.
  • 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.