Triple

T9616877
Position Surface form Disambiguated ID Type / Status
Subject Vekoma E232240 entity
Predicate formerName P65 FINISHED
Object Veld Koning Machinefabriek E810533 NE 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: Veld Koning Machinefabriek | Statement: [Vekoma, formerName, Veld Koning Machinefabriek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veld Koning Machinefabriek
Context triple: [Vekoma, formerName, Veld Koning Machinefabriek]
  • A. Veld Koning Machinefabriek chosen
    Veld Koning Machinefabriek is the Dutch engineering and manufacturing company that originally established the amusement ride and roller coaster manufacturer Vekoma.
  • B. Steenberg
    Steenberg is a suburb in Cape Town, South Africa, situated near the Pollsmoor maximum-security prison.
  • C. Kwaishinsha Motor Car Works
    Kwaishinsha Motor Car Works was an early 20th-century Japanese automobile manufacturer best known as a predecessor to what later became the Datsun/Nissan brand.
  • D. Garmendale Engineering
    Garmendale Engineering is a British ride and attraction manufacturer known for designing and building themed amusement rides for major entertainment brands and parks.
  • E. Denel Dynamics
    Denel Dynamics is a South African defense technology company specializing in the design and manufacture of advanced missile and unmanned aerial systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aad71a0819084ea00c2409e9922 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18225f9508190bde23b9d2a40bccc completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:09 p.m.