Triple

T8897973
Position Surface form Disambiguated ID Type / Status
Subject Logres E211851 entity
Predicate usedAsAllegoryFor P39108 FINISHED
Object Christian commonwealth 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: Christian commonwealth | Statement: [Logres, usedAsAllegoryFor, Christian commonwealth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsAllegoryFor
Context triple: [Logres, usedAsAllegoryFor, Christian commonwealth]
  • A. politicalAllegoryFor chosen
    Indicates that one entity symbolically represents or critiques another entity, event, or system within a political context.
  • B. hasAllegoricalDepictionsBy
    Indicates that one entity is represented through allegorical depictions created by another entity.
  • C. allegoricalInterpretation
    Indicates that one entity is interpreted as symbolically representing deeper, often moral or spiritual, meanings within another entity (such as a text, image, or event).
  • D. hasAllegoricalFigures
    Indicates that a work, scene, or element includes figures that symbolically represent abstract ideas, concepts, or moral qualities.
  • E. allegoricalDomain
    Indicates that one entity serves as the abstract or symbolic domain that another entity allegorically represents or refers to.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc642618908190b3df50cbbabff93d completed April 1, 2026, 12:17 a.m.
PD Predicate disambiguation batch_69cc5c2bfb38819083d5eb1af8ccf4d6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:54 p.m.