Triple

T18079549
Position Surface form Disambiguated ID Type / Status
Subject Agathocles of Bactria E432649 entity
Predicate inferredReligionPolicy P7601 FINISHED
Object tolerance toward Indian religions 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: tolerance toward Indian religions | Statement: [Agathocles of Bactria, inferredReligionPolicy, tolerance toward Indian religions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inferredReligionPolicy
Context triple: [Agathocles of Bactria, inferredReligionPolicy, tolerance toward Indian religions]
  • 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. religiousPolicyOutcome
    Indicates the consequences or effects that a particular religious policy has on individuals, groups, or society.
  • D. declaredReligion
    Indicates that an entity has formally stated or reported a particular religious affiliation.
  • E. officialReligion
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f81ff08190b7465e3c5568aa59 completed April 19, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69e3f90c652481908133a73106d78919 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:27 a.m.