Triple

T17038730
Position Surface form Disambiguated ID Type / Status
Subject Duenos inscription E413386 entity
Predicate interpretationIssues P41533 FINISHED
Object difficult to interpret due to archaic language 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: difficult to interpret due to archaic language | Statement: [Duenos inscription, interpretationIssues, difficult to interpret due to archaic language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: interpretationIssues
Context triple: [Duenos inscription, interpretationIssues, difficult to interpret due to archaic language]
  • A. disputedInterpretation chosen
    Indicates that there is disagreement or contention over how something should be understood, interpreted, or explained.
  • B. intendedInterpretation
    Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
  • C. misinterpretedBy
    Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
  • D. containsInterpretationOf
    Indicates that one entity includes or embodies an interpretation or understanding of another entity.
  • E. requiresInterpretationInLightOf
    Indicates that something must be understood, evaluated, or applied by considering it in the context or framework provided by another thing.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f45f84819092cfb27cc33da026 completed April 18, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69e35d60a588819084f53ef9f8b2e7c0 completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:33 a.m.