Triple

T20163277
Position Surface form Disambiguated ID Type / Status
Subject Avelia E491767 entity
Predicate hasSubseries P35499 FINISHED
Object Avelia Pendolino 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: Avelia Pendolino | Statement: [Avelia, hasSubseries, Avelia Pendolino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avelia Pendolino
Context triple: [Avelia, hasSubseries, Avelia Pendolino]
  • A. Sm6 Pendolino
    The Sm6 Pendolino is a high-speed tilting electric multiple unit train used on cross-border services between Finland and Russia.
  • B. Sm3 Pendolino
    Sm3 Pendolino is a class of high-speed tilting electric multiple unit trains used by VR in Finland for intercity passenger services.
  • C. Alstom New Pendolino chosen
    The Alstom New Pendolino is a family of high-speed tilting electric multiple unit trains designed for fast, comfortable intercity services on conventional, curving rail lines.
  • D. Class 390 Pendolino
    The Class 390 Pendolino is a high-speed tilting electric multiple unit train used by Avanti West Coast on the West Coast Main Line in the United Kingdom.
  • E. EIP (Pendolino) trains
    EIP (Pendolino) trains are Poland’s flagship high-speed electric multiple units operated by PKP Intercity, known for fast, comfortable intercity connections between major cities.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66841b7d88190af3606f762d87b24 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.