Triple

T5365883
Position Surface form Disambiguated ID Type / Status
Subject Regnum Defende E103127 entity
Predicate hasSubjectImplied P36922 FINISHED
Object second person plural or singular 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: second person plural or singular | Statement: [Regnum Defende, hasSubjectImplied, second person plural or singular]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubjectImplied
Context triple: [Regnum Defende, hasSubjectImplied, second person plural or singular]
  • A. subjectImpliedAs chosen
    Indicates that the subject of an action or statement is not explicitly stated but is understood or inferred from context.
  • B. hasSubjectPosition
    Indicates that an entity occupies or is assigned to a particular subject role or position within a structure, context, or organization.
  • C. hasTypicalSubject
    Indicates that something is commonly or characteristically used as the subject (agent or topic) of a given relation or action.
  • D. isSubjectTo
    Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
  • E. hasSubjectPronouns
    Indicates that an entity is associated with one or more pronouns that function as its grammatical subject in sentences.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8682d18c8190bbb35cc75c8a7c12 completed March 20, 2026, 5:40 p.m.
PD Predicate disambiguation batch_69bd845f41f88190b75b8b64b9e41862 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:02 p.m.