Triple

T22557903
Position Surface form Disambiguated ID Type / Status
Subject EuroCity E557734 entity
Predicate distinguishedFrom P1612 FINISHED
Object EuroNight 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: EuroNight | Statement: [EuroCity, distinguishedFrom, EuroNight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuroNight
Context triple: [EuroCity, distinguishedFrom, EuroNight]
  • A. EuroNight chosen
    EuroNight is a network of international overnight passenger trains in Europe offering long-distance cross-border travel with sleeping and couchette accommodations.
  • B. Amsterdam After Dark
    Amsterdam After Dark is a jazz album by tenor saxophonist George Coleman, showcasing his robust hard-bop style in an intimate small-group setting.
  • C. Nightjet
    Nightjet is a network of overnight long-distance passenger trains operated by Austrian Federal Railways (ÖBB) across several European countries.
  • D. Trans Europ Express
    Trans Europ Express was a former network of high-quality international express trains that connected major cities across Western Europe from the late 1950s to the 1980s.
  • E. SJ Night train
    SJ Night train is Sweden’s overnight rail service offering long-distance sleeper connections, often linking major cities with northern destinations.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7b06e08190b3ca82a783965942 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.