Triple

T30463248
Position Surface form Disambiguated ID Type / Status
Subject Druj E775066 entity
Predicate ethicalOppositeOf P129862 FINISHED
Object Asha NE NERFINISHED

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: Asha | Statement: [Druj, ethicalOppositeOf, Asha]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethicalOppositeOf
Context triple: [Druj, ethicalOppositeOf, Asha]
  • A. ethicalConnotation
    Indicates that one entity is associated with a positive, negative, or otherwise specific moral or ethical evaluation in relation to another entity or context.
  • B. ethicalQuality
    Indicates that an entity possesses a moral or ethical characteristic, such as goodness, virtue, or integrity, as evaluated by some ethical standard.
  • C. ethicalDebate
    Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
  • D. opposedMoralFunction chosen
    Indicates that one entity’s moral role, purpose, or function stands in direct opposition or contradiction to that of another entity.
  • E. ethicalPrinciples
    Indicates a relationship where certain actions, decisions, or agents are governed, guided, or constrained by specified ethical rules, norms, or moral standards.
  • 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_69f2249622a48190b1fae2e3e4ee958a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686f1945c819089b3a95932ef401e completed May 2, 2026, 11:21 p.m.
PD Predicate disambiguation batch_69f678d2196c8190b9d0d2fcd47cc539 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 8:10 p.m.