Triple

T37661645
Position Surface form Disambiguated ID Type / Status
Subject Eye of Ender E937729 entity
Predicate breakChancePerUse P70746 FINISHED
Object 0.2 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: 0.2 | Statement: [Eye of Ender, breakChancePerUse, 0.2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: breakChancePerUse
Context triple: [Eye of Ender, breakChancePerUse, 0.2]
  • A. failureRate
    Indicates the proportion or frequency at which a system, component, or process fails over a specified set of operations or time period.
  • B. hasFailureProbability chosen
    Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
  • C. brokenUsing
    Indicates that one entity was broken or damaged through the use or application of another entity as the means or tool.
  • D. loserPercentage
    Indicates the proportion of entities in a group that have lost or failed according to a specified criterion.
  • E. willBreakFreeDuring
    Indicates that an entity is expected to escape or become free from another entity or constraint during a specified time or event.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaa1321b48190af92a3e7ec24ec5b completed May 6, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69fba8860f98819080b7bab05837b974 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:18 p.m.