Triple

T4551512
Position Surface form Disambiguated ID Type / Status
Subject Portugal and Spain E110173 entity
Predicate shareReligiousHeritage P37062 FINISHED
Object Roman Catholicism 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: Roman Catholicism | Statement: [Portugal and Spain, shareReligiousHeritage, Roman Catholicism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareReligiousHeritage
Context triple: [Portugal and Spain, shareReligiousHeritage, Roman Catholicism]
  • A. sharesReligionWith chosen
    Indicates that two entities follow or are associated with the same religion or religious tradition.
  • B. dominantReligionLegacy
    Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
  • C. religiousCulturalContext
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • D. religiousTraditions
    Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
  • E. ethnicReligion
    Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f7b9748190af29d02fc77b02e0 completed March 20, 2026, 2:21 p.m.
PD Predicate disambiguation batch_69bd5223423c81908317351b58cff5f5 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:05 p.m.