Triple

T33503591
Position Surface form Disambiguated ID Type / Status
Subject 2013 Catalan Way E858057 entity
Predicate nonViolent P77882 FINISHED
Object true 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: true | Statement: [2013 Catalan Way, nonViolent, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nonViolent
Context triple: [2013 Catalan Way, nonViolent, true]
  • A. nonviolenceTypeDiscussed
    Indicates that the discussion or communication centers on a particular type or form of nonviolence.
  • B. employedNonviolence chosen
    Indicates that an entity used nonviolent methods or strategies, rather than physical force or aggression, to pursue its goals or resolve a conflict.
  • C. nonConstructive
    Indicates that the relationship or action does not provide a direct, explicit method or example to realize or build the object, outcome, or proof it asserts exists.
  • D. nonVerbalIn
    Indicates that an entity is present in a location or context without using spoken or written language, relying instead on non-verbal communication or behavior.
  • E. nonDerogation
    Indicates that the existence or exercise of one right, obligation, or provision does not diminish, restrict, or invalidate another.
  • 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_69f3497660508190a541826a81f7e9ab completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e59dcc40819098acbe7224febc83 completed May 3, 2026, 6:05 a.m.
PD Predicate disambiguation batch_69f6e3db74c081909a991309d835d477 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:38 a.m.