Triple

T20762326
Position Surface form Disambiguated ID Type / Status
Subject Scrabble (in North America) E511002 entity
Predicate boardHasPremiumSquares P101975 FINISHED
Object double letter score 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: double letter score | Statement: [Scrabble (in North America), boardHasPremiumSquares, double letter score]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: boardHasPremiumSquares
Context triple: [Scrabble (in North America), boardHasPremiumSquares, double letter score]
  • A. hasNumberOfSquares
    Indicates that an entity is associated with a specific count of squares it contains or comprises.
  • B. boardProperties chosen
    Indicates a relationship where specific attributes or characteristics are assigned to or associated with a board.
  • C. hasPremiumMaterials
    Indicates that something is made from or includes higher-quality or superior-grade materials compared to standard options.
  • D. isPremium
    Indicates that an entity has premium status, typically granting enhanced or paid-tier features or privileges compared to a standard version.
  • E. isMonopoly
    Indicates that one entity exclusively controls a market or resource, facing no significant competition.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2493a188190a336a35ea134e5f7 completed April 21, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69e5c0509608819080cdbf47fcddfe36 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:35 p.m.