Triple

T14480835
Position Surface form Disambiguated ID Type / Status
Subject Erastes E359096 entity
Predicate relationshipGoal P114366 FINISHED
Object formation of virtuous citizen 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: formation of virtuous citizen | Statement: [Erastes, relationshipGoal, formation of virtuous citizen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipGoal
Context triple: [Erastes, relationshipGoal, formation of virtuous citizen]
  • A. relationshipFocus
    Indicates a relationship where particular attention, priority, or emphasis is placed on the connection between two or more entities.
  • B. relationshipDurationWith
    Indicates the length of time that a specified relationship between two entities has existed or is expected to last.
  • C. relationshipOutcome
    Indicates the result or consequence that arises from a particular relationship between two or more entities.
  • D. relationshipDynamic
    Indicates a changing or evolving pattern of interaction between entities, such as shifts in their roles, closeness, or influence over time.
  • E. romanticRelationshipStatus
    Indicates the nature or state of a romantic relationship between entities, such as whether they are dating, committed, separated, or otherwise romantically involved.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924a576c819098351efabdb779b1 completed April 14, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69de5c487b4c819097803e58dca628a5 completed April 14, 2026, 3:24 p.m.
PDg Predicate description generation batch_69de5fb4de14819092acdecbd201d672 completed April 14, 2026, 3:39 p.m.
Created at: April 10, 2026, 1:20 a.m.