Triple

T12784343
Position Surface form Disambiguated ID Type / Status
Subject Tabot E305584 entity
Predicate ifAbsent P30856 FINISHED
Object Divine Liturgy may not be celebrated in that church 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: Divine Liturgy may not be celebrated in that church | Statement: [Tabot, ifAbsent, Divine Liturgy may not be celebrated in that church]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ifAbsent
Context triple: [Tabot, ifAbsent, Divine Liturgy may not be celebrated in that church]
  • A. succeedsInAbsenceOf chosen
    Indicates that one entity successfully achieves or maintains something only when another specified entity or condition is not present.
  • B. hasValue
    Indicates that an entity is associated with a specific numerical, textual, or otherwise defined value.
  • C. existsIf
    Indicates that the existence or validity of one entity or condition depends on the presence or truth of another specified condition.
  • D. hasPresentUse
    Indicates that an entity is currently being used or serving a particular function at the present time.
  • E. mayPresent
    Indicates that one entity is permitted or authorized to present, display, or introduce another entity or item.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5cb3c08190b8e1e22de8b96e17 completed April 10, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69d9640ba0688190973e4e7ec8d4a8e0 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:29 p.m.