Triple

T17030855
Position Surface form Disambiguated ID Type / Status
Subject Sabacc E413188 entity
Predicate hasPhysicalAdaptation P2375 FINISHED
Object real-world card game versions 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: real-world card game versions | Statement: [Sabacc, hasPhysicalAdaptation, real-world card game versions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhysicalAdaptation
Context triple: [Sabacc, hasPhysicalAdaptation, real-world card game versions]
  • A. hasHumanAdaptation
    Indicates that something has been modified, designed, or adjusted specifically to suit human use, abilities, or needs.
  • B. hasAquaticAdaptationsIn
    Indicates that an entity possesses physical or behavioral adaptations suited for living or functioning in a specified aquatic environment.
  • C. hasSensoryAdaptation
    Indicates that an entity possesses a specialized sensory modification or adjustment that enhances its ability to detect, process, or respond to environmental stimuli.
  • D. hasSnoutAdaptation
    Indicates that an entity possesses a specific modification or specialized feature of its snout adapted for a particular function or environment.
  • E. adaptationType chosen
    Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d918ec8190b54c40c2a5e9b6b9 completed April 18, 2026, 7:04 p.m.
PD Predicate disambiguation batch_69e35d5be7f48190af9db67a1e23850f completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:33 a.m.