Triple

T37203029
Position Surface form Disambiguated ID Type / Status
Subject Lumo (Class 803 variant) E922091 entity
Predicate competitionModel P563 FINISHED
Object competes with franchised intercity operators on ECML LITERAL 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: competes with franchised intercity operators on ECML | Statement: [Lumo (Class 803 variant), competitionModel, competes with franchised intercity operators on ECML]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: competitionModel
Context triple: [Lumo (Class 803 variant), competitionModel, competes with franchised intercity operators on ECML]
  • A. competitionOf
    Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
  • B. competitionFrom
    Indicates that one entity is experiencing competitive pressure or rivalry originating from another entity.
  • C. globalCompetition
    Indicates a competitive relationship or rivalry that occurs between entities operating across multiple countries or on a worldwide scale.
  • D. competitionDomain
    Indicates that two or more entities are engaged in or associated with the same competitive context, field, or market.
  • E. competition chosen
    Indicates a relationship where two or more entities strive against each other to achieve a superior outcome, advantage, or reward.
  • F. None of above.

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_69f76ea4849481909b4a3073efb0114c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd4129a8848190a5002150278ac689 completed May 8, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69fd3e0515ec8190937c7af71ebc3875 completed May 8, 2026, 1:36 a.m.
Created at: May 3, 2026, 4:15 p.m.