Triple

T32919462
Position Surface form Disambiguated ID Type / Status
Subject Minsk World E842104 entity
Predicate openedAsThemePark P191816 FINISHED
Object 2000 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: 2000 | Statement: [Minsk World, openedAsThemePark, 2000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedAsThemePark
Context triple: [Minsk World, openedAsThemePark, 2000]
  • A. openedAttraction
    Indicates that an entity initiated the operation or public availability of an attraction at a specific time or event.
  • B. openedWithAttraction
    Indicates that something was initiated or begun due to a sense of attraction between the involved entities.
  • C. hasThemePark
    Indicates that one entity owns, contains, or is associated with a theme park as part of its properties or offerings.
  • D. openedAsCountryPark
    Indicates that a place or site was inaugurated or began operation specifically as a country park.
  • E. openedWithPark
    Indicates that something (such as an event, show, or sequence) began or was initiated with a segment, performance, or feature involving a park.
  • F. None of above. chosen

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_69f3494779388190a5d3e97f92278be2 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fcec5f8b448190b48330a19b462d24 completed May 7, 2026, 7:47 p.m.
PD Predicate disambiguation batch_69fceaf1e23881908ca24160a638e329 completed May 7, 2026, 7:41 p.m.
PDg Predicate description generation batch_69fcec5e560481909cd710b88897e833 completed May 7, 2026, 7:47 p.m.
Created at: May 1, 2026, 1:19 a.m.