Triple

T5347575
Position Surface form Disambiguated ID Type / Status
Subject De Monarchia E124092 entity
Predicate settingOfArgument P1957 FINISHED
Object universal Christian society 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: universal Christian society | Statement: [De Monarchia, settingOfArgument, universal Christian society]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settingOfArgument
Context triple: [De Monarchia, settingOfArgument, universal Christian society]
  • A. setting chosen
    Indicates the place, time, or context in which an event, action, or interaction occurs.
  • B. usedInArgumentFor
    Indicates that something (such as a statement, piece of evidence, or concept) is employed as support within an argument advocating for a particular claim or position.
  • C. keyArgument
    Indicates that an entity plays a central or primary argumentative role within a larger discourse, claim, or reasoning structure.
  • D. configurationOptionIn
    Indicates that a specific configuration option belongs to, or is defined within, a particular configuration set, context, or system.
  • E. argumentType
    Indicates that one entity serves as a specific semantic or syntactic argument role (such as subject, object, or complement) in relation to another entity or event.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ef75148190815461c2a49302e9 completed March 20, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.