Triple

T2439293
Position Surface form Disambiguated ID Type / Status
Subject Litany of Loreto E53235 entity
Predicate invocationType P39337 FINISHED
Object supplicatory prayer 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: supplicatory prayer | Statement: [Litany of Loreto, invocationType, supplicatory prayer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: invocationType
Context triple: [Litany of Loreto, invocationType, supplicatory prayer]
  • A. invokedIn
    Indicates that an action, method, or function is called or executed within the context or body of another construct (such as a method, block, or scope).
  • B. injectionType
    Indicates the specific method or form by which an injection is administered or delivered.
  • C. argumentType
    Indicates that one entity serves as a specific semantic or syntactic argument role (such as subject, object, or complement) in relation to another entity or event.
  • D. invariantType
    Indicates that one entity has a type or classification that remains constant or unchanged under specified conditions or transformations.
  • E. inductionType
    Indicates the specific method or process by which something is brought into a state, condition, or role (e.g., how an entity is initiated, introduced, or caused to occur).
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abcebf7cac8190889e6890d72c256c completed March 7, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abc5ac11b081908ce6a506e81a742a completed March 7, 2026, 6:29 a.m.
PDg Predicate description generation batch_69abcebe7dd08190b197a2a0e78787e3 completed March 7, 2026, 7:07 a.m.
Created at: March 6, 2026, 9:43 p.m.