Triple

T22274973
Position Surface form Disambiguated ID Type / Status
Subject Order of Montesa E550576 entity
Predicate secularizationTrend P26075 FINISHED
Object early modern period 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: early modern period | Statement: [Order of Montesa, secularizationTrend, early modern period]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secularizationTrend
Context triple: [Order of Montesa, secularizationTrend, early modern period]
  • A. secularizationEra chosen
    Indicates the historical period during which a society, institution, or practice becomes less influenced by religion and more oriented toward secular principles.
  • B. underwentSecularization
    Indicates that an entity experienced a process in which religious control, influence, or character was reduced or removed, often transferring authority or function to secular institutions or principles.
  • C. secularizationConfirmedBy
    Indicates that the process or state of secularization has been validated, endorsed, or officially recognized by a specified authority or source.
  • D. religiousTrend
    Indicates a pattern or direction of change over time in religious beliefs, practices, or affiliations among entities.
  • E. religiousDemographyChange
    Indicates a change over time in the religious composition or affiliation distribution within a population or region.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e72ff0363081909f794d19c8a64837 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:40 p.m.