Triple

T9589040
Position Surface form Disambiguated ID Type / Status
Subject Gates of Prayer E231368 entity
Predicate hasMultipleEditions P35037 FINISHED
Object true 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: true | Statement: [Gates of Prayer, hasMultipleEditions, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMultipleEditions
Context triple: [Gates of Prayer, hasMultipleEditions, true]
  • A. hasDifferentEditions chosen
    Indicates that an entity exists in multiple distinct versions or editions that differ in some characteristics.
  • B. numberOfEditions
    Indicates the total count of distinct editions associated with a given entity.
  • C. hasEditionIn
    Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
  • D. hasEditionType
    Indicates that one entity is a specific edition type or format classification of another entity (such as a work, publication, or product).
  • E. hasMultipleVersions
    Indicates that an entity exists in more than one distinct version or revision.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f1696c8190addf1a43544f2c18 completed April 1, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69ccd59fd7408190b36831902e3f37f7 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:06 p.m.