Triple

T20142781
Position Surface form Disambiguated ID Type / Status
Subject ¡Uno! E491215 entity
Predicate penaltyMechanic P112422 FINISHED
Object drawing extra cards 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: drawing extra cards | Statement: [¡Uno!, penaltyMechanic, drawing extra cards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: penaltyMechanic
Context triple: [¡Uno!, penaltyMechanic, drawing extra cards]
  • A. penaltyMechanism chosen
    Indicates a relationship where a rule, system, or process imposes a negative consequence or sanction in response to certain actions or conditions.
  • B. movementPenaltyMechanic
    Indicates a game or system mechanic that imposes a penalty or disadvantage on an entity’s movement under certain conditions.
  • C. penaltyRules
    Indicates the rules or conditions under which penalties are defined, applied, or enforced in a given context.
  • D. penaltyPoints
    Indicates that a certain number of negative points or demerits are assigned to an entity as a consequence of a rule violation, error, or infraction.
  • E. penaltyProvision
    Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679bcf2c8190ac6e969178d8acde completed April 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69e54cfb0d0081908e789b9b57e96668 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:33 p.m.