Triple

T5629454
Position Surface form Disambiguated ID Type / Status
Subject Mughal culture E147795 entity
Predicate hasReligiousPolicyFeature P7601 FINISHED
Object Akbar’s policy of sulh-i kul 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: Akbar’s policy of sulh-i kul | Statement: [Mughal culture, hasReligiousPolicyFeature, Akbar’s policy of sulh-i kul]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousPolicyFeature
Context triple: [Mughal culture, hasReligiousPolicyFeature, Akbar’s policy of sulh-i kul]
  • A. dominantReligionPolicy
    Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given context.
  • B. religionPolicy chosen
    Indicates the stance, rules, or approach an entity adopts toward religious beliefs, practices, or institutions.
  • C. hasReligiousTheme
    Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
  • D. hasAssociatedReligion
    Indicates that an entity is connected with or linked to a particular religion.
  • E. hasReligiousWing
    Indicates that an organization or entity includes a distinct division, branch, or component dedicated to religious activities, functions, or purposes.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0223b1e54819099fe5fc84ed17a88 completed March 22, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69c01b1f12ec8190b4b9d9ee31cabe19 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:40 p.m.