Triple

T36429469
Position Surface form Disambiguated ID Type / Status
Subject Kingian nonviolence E897401 entity
Predicate viewsConflictAs P123227 FINISHED
Object opportunity for positive change 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: opportunity for positive change | Statement: [Kingian nonviolence, viewsConflictAs, opportunity for positive change]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewsConflictAs
Context triple: [Kingian nonviolence, viewsConflictAs, opportunity for positive change]
  • A. viewsOnConflict chosen
    Indicates that one entity holds particular opinions, perspectives, or stances regarding a specific conflict or dispute.
  • B. facesConflictWith
    Indicates that one entity is in opposition, dispute, or contention with another, involving incompatible goals, interests, or actions.
  • C. framesConflictAs
    Indicates that one entity presents or interprets a situation, issue, or interaction specifically in terms of conflict or opposition between parties.
  • D. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • E. holderConflict
    Indicates a relationship where the current holder or possessor of something is in conflict or dispute over that holding, such as ownership, control, or rights.
  • 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_69f76e559b10819099d6655a6e14587c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:10 p.m.