Triple

T19382983
Position Surface form Disambiguated ID Type / Status
Subject Moldova at the Olympic Games E484858 entity
Predicate usesCodeOnScoreboards P42512 FINISHED
Object MDA NE NERFINISHED

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: MDA | Statement: [Moldova at the Olympic Games, usesCodeOnScoreboards, MDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MDA
Context triple: [Moldova at the Olympic Games, usesCodeOnScoreboards, MDA]
  • A. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • B. MDA chosen
    MDA is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of Moldova.
  • C. MDA
    MDA is a Canadian space technology company known for developing advanced satellite systems, robotics, and Earth observation solutions.
  • D. MDA
    MDA is the common abbreviation for the Mighty Ducks of Anaheim, a former National Hockey League team based in Anaheim, California.
  • E. MDA
    MDA (Model-Driven Architecture) is a software design approach that emphasizes creating and transforming high-level platform-independent models into platform-specific implementations, standardized by the Object Management Group.
  • 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: usesCodeOnScoreboards
Context triple: [Moldova at the Olympic Games, usesCodeOnScoreboards, MDA]
  • A. usedOnScoreboards chosen
    Indicates that something is employed or displayed specifically on scoreboards.
  • B. hasScoreboard
    Indicates that one entity is equipped with or associated with a scoreboard used to display scores or results.
  • C. hasScoreboardLocation
    Indicates the spatial or logical position where a scoreboard is placed or associated within a given context.
  • D. usedInScoreGraphics
    Indicates that something (such as a technique, element, or resource) is employed within the creation or presentation of score graphics.
  • E. hasScorekeepersBooth
    Indicates that one entity includes, contains, or is equipped with a designated booth or area for scorekeepers.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a614cf88190b561eafaa350ce19 completed April 20, 2026, 12:21 p.m.
PD Predicate disambiguation batch_69e4fd602f008190aa9bc76ae17e4ce1 completed April 19, 2026, 4:05 p.m.
Created at: April 10, 2026, 1:35 p.m.