Triple

T17517989
Position Surface form Disambiguated ID Type / Status
Subject Retribution E426613 entity
Predicate modifiesSystem P104561 FINISHED
Object bounty placement rules 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: bounty placement rules | Statement: [Retribution, modifiesSystem, bounty placement rules]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modifiesSystem
Context triple: [Retribution, modifiesSystem, bounty placement rules]
  • A. modificationProgram chosen
    Indicates that an entity is subject to, or associated with, a program or process that alters, updates, or changes its properties or state.
  • B. packageSystem
    Indicates a relationship where an item or component is organized, bundled, or managed within a particular packaging or distribution system.
  • C. treatsSystem
    Indicates that one entity provides medical or remedial care or intervention to a system (such as a bodily system, technical system, or organizational system) to address problems, maintain function, or improve its condition.
  • D. modifiesFacility
    Indicates a relationship where an entity changes, updates, or alters some aspect of a facility (such as its structure, function, or configuration).
  • E. definesSystemAs
    Indicates that one entity explicitly specifies or establishes another entity as the system to be used, referenced, or treated as authoritative.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d0daa48190be69aff32b0324bc completed April 19, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69e3b4f8b9888190aa8a45e09acf4319 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.