Triple

T11556944
Position Surface form Disambiguated ID Type / Status
Subject De Clementia E274040 entity
Predicate survivingParts P47939 FINISHED
Object Book I 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: Book I | Statement: [De Clementia, survivingParts, Book I]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: survivingParts
Context triple: [De Clementia, survivingParts, Book I]
  • A. survivingPortions chosen
    Indicates that certain parts or segments of something remain intact or extant after other portions have been lost, destroyed, or removed.
  • B. spares
    Indicates that one entity chooses not to harm, punish, or destroy another entity when it has the power or opportunity to do so.
  • C. survivedBy
    Indicates that one entity continues to live or exist after the death or end of another entity.
  • D. survivingFrom
    Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
  • E. survivesWith
    Indicates that one entity continues to live, endure, or remain viable in the presence, context, or company of another entity.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a888e8481909386009b9603e4d3 completed April 10, 2026, 5:28 a.m.
PD Predicate disambiguation batch_69d85dc3fc2c8190bed7e2111301a77c completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:37 p.m.