Triple

T22875058
Position Surface form Disambiguated ID Type / Status
Subject Kathismata E567299 entity
Predicate associatedWithServicePart P2830 FINISHED
Object psalmody section of Matins 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: psalmody section of Matins | Statement: [Kathismata, associatedWithServicePart, psalmody section of Matins]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithServicePart
Context triple: [Kathismata, associatedWithServicePart, psalmody section of Matins]
  • A. linkedByServiceTo
    Indicates that one entity is connected or associated with another through a specific service acting as the linking mechanism.
  • B. associatedWithProvider
    Indicates that one entity has a connection or relationship with a specific provider, such as being supplied, managed, or serviced by that provider.
  • C. associatedWithUnit
    Indicates that one entity has a connection, linkage, or affiliation with a particular unit (such as a division, department, or organizational subunit).
  • D. isAssociatedWith chosen
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • E. associatedWithParticle
    Indicates that an entity has a contextual or functional connection to a specific particle (such as a subatomic particle or grammatical particle).
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f57a1ec8190b8c6a0080d97a2a2 completed April 29, 2026, 3:47 a.m.
PD Predicate disambiguation batch_69eed2d8c0608190afef4c4e530c0e2c completed April 27, 2026, 3:07 a.m.
Created at: April 17, 2026, 3:39 p.m.