Triple

T117673
Position Surface form Disambiguated ID Type / Status
Subject Socrates E2377 entity
Predicate convictedOf P6201 FINISHED
Object impiety 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: impiety | Statement: [Socrates, convictedOf, impiety]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: convictedOf
Context triple: [Socrates, convictedOf, impiety]
  • A. imprisonedFor
    Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
  • B. confessedTo
    Indicates that one entity admitted guilt or revealed the truth about an action, wrongdoing, or secret to another entity.
  • C. prosecuted
    Indicates that legal authorities have formally brought criminal charges against an entity and pursued a case against them in a court of law.
  • D. hasPunishment
    Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
  • E. punishedBy
    Indicates that an entity receives punishment administered by another entity.
  • F. None of above. chosen

Provenance (4 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a257845c548190bfb49409988d1c57 completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a256456d908190b52c937fe6c4343f completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2578329d08190be82e004b8224d2b completed Feb. 28, 2026, 2:48 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.