Triple

T35184767
Position Surface form Disambiguated ID Type / Status
Subject Our Lady of the Roses E1015954 entity
Predicate messagesClaimSource P116977 FINISHED
Object Virgin Mary NE NERFINISHED

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: Virgin Mary | Statement: [Our Lady of the Roses, messagesClaimSource, Virgin Mary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: messagesClaimSource
Context triple: [Our Lady of the Roses, messagesClaimSource, Virgin Mary]
  • A. claimsSource chosen
    Indicates that one entity is identified as the origin or provider of a claim made by another entity.
  • B. mainClaim
    Indicates that one statement is presented as the central or primary assertion being made about a topic.
  • C. recordClaim
    Indicates that an entity formally documents or logs a claim made by another entity or about a particular matter.
  • D. facedClaimsFrom
    Indicates that one entity has been the target of accusations, allegations, or formal complaints made by another entity.
  • E. labelClaim
    Indicates that an entity asserts or assigns a specific label or classification to another entity or statement.
  • 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_69f76ddd815c8190b822eea06630f9fb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78dc196708190a1a1cf7b9068e1cd completed May 3, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69f78b9106008190930b3b3675b737d6 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:02 p.m.