Triple

T37463090
Position Surface form Disambiguated ID Type / Status
Subject Sherazin, Corpse Flower E930966 entity
Predicate mechanicTriggerCondition P29885 FINISHED
Object playing 4 cards in a single turn 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: playing 4 cards in a single turn | Statement: [Sherazin, Corpse Flower, mechanicTriggerCondition, playing 4 cards in a single turn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mechanicTriggerCondition
Context triple: [Sherazin, Corpse Flower, mechanicTriggerCondition, playing 4 cards in a single turn]
  • A. triggerCondition chosen
    Indicates the specific circumstances or state under which an associated event, action, or process is initiated or activated.
  • B. cargoConditionMechanic
    Indicates that a mechanic assesses, maintains, or reports on the condition of cargo.
  • C. hasTriggerMechanism
    Indicates that an entity possesses or is equipped with a specific mechanism used to initiate or activate an action or process.
  • D. changesMechanic
    Indicates that one entity alters, replaces, or modifies the underlying rules, systems, or mechanics governing another entity or process.
  • E. mechanicRisk
    Indicates that there is a potential danger, hazard, or adverse outcome associated with a particular mechanical process, operation, or mechanism.
  • 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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcda3699948190adb57625bae08091 completed May 7, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69fcd8fd16d08190b0aca6e19a632e99 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:17 p.m.