Triple

T10908544
Position Surface form Disambiguated ID Type / Status
Subject Merkur E257632 entity
Predicate targetedCompetitors P1375 FINISHED
Object BMW E10671 NE FINISHED

How this triple was built (3 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: BMW | Statement: [Merkur, targetedCompetitors, BMW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW
Context triple: [Merkur, targetedCompetitors, BMW]
  • A. BMW chosen
    BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
  • B. Audi
    Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
  • C. BMW Welt
    BMW Welt is a futuristic multi-use exhibition, delivery, and event center in Munich that showcases BMW Group vehicles and technology.
  • D. BMWK
    BMWK is the German Federal Ministry responsible for economic policy and climate action at the national level.
  • E. BMW X Series
    The BMW X Series is a lineup of BMW’s luxury crossover and sport utility vehicles known for combining premium comfort with sporty performance and all-wheel-drive capability.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetedCompetitors
Context triple: [Merkur, targetedCompetitors, BMW]
  • A. attractsCompetitorsFrom
    Indicates that one entity draws or lures competitors away from another entity or location.
  • B. competesWith chosen
    Indicates that two entities are in rivalry or opposition, each striving to outperform or gain advantage over the other in the same domain or objective.
  • C. targetMarket
    Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
  • D. tieneCompetenciaEn
    Indicates that an entity possesses skill, expertise, or competence in a specific area, field, or activity.
  • E. competitionFrom
    Indicates that one entity is experiencing competitive pressure or rivalry originating from another entity.
  • F. None of above.

Provenance (4 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706824d08190ba894d144cc6b3ba completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69d70d3d69e08190bb369e9a7927142c completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:22 p.m.