Triple

T6466684
Position Surface form Disambiguated ID Type / Status
Subject Jubilee of 1600 E142248 entity
Predicate hasTypeOfIndulgence P70962 FINISHED
Object plenary indulgence for pilgrims 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: plenary indulgence for pilgrims | Statement: [Jubilee of 1600, hasTypeOfIndulgence, plenary indulgence for pilgrims]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfIndulgence
Context triple: [Jubilee of 1600, hasTypeOfIndulgence, plenary indulgence for pilgrims]
  • A. hasSpecialIndulgence
    Indicates that one entity grants or possesses a particular privilege, exemption, or favor specifically afforded to another entity.
  • B. hasNumberOfTemptations
    Indicates the specific count of temptations associated with an entity or situation.
  • C. allowsTastingOf
    Indicates that one entity permits another entity to sample or try the taste of something.
  • D. hasSpiciness
    Indicates that one entity possesses a certain level or quality of spiciness in relation to another entity or a defined scale.
  • E. hasTastingProfile
    Indicates that an entity possesses a specific flavor or sensory profile, typically describing its characteristic tastes and aromas.
  • F. None of above. chosen

Provenance (4 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a12ccf481908f71f888cd744b64 completed March 22, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69c0673d46a08190bc8bcd29f9555fe7 completed March 22, 2026, 10:03 p.m.
PDg Predicate description generation batch_69c067da970481908a038995ba7dfb4b completed March 22, 2026, 10:06 p.m.
Created at: March 22, 2026, 4:49 p.m.