Triple

T14489796
Position Surface form Disambiguated ID Type / Status
Subject Arise, O Lord E359330 entity
Predicate numberOfCondemnedPropositions P104696 FINISHED
Object 41 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: 41 | Statement: [Arise, O Lord, numberOfCondemnedPropositions, 41]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfCondemnedPropositions
Context triple: [Arise, O Lord, numberOfCondemnedPropositions, 41]
  • A. numberOfPropositionsCondemned chosen
    Indicates the quantity of propositions that have been formally condemned.
  • B. numberOfPropositions
    Indicates the total count of distinct propositions associated with or contained within a given entity or context.
  • C. condemnedIn
    Indicates that an entity was formally denounced, sentenced, or declared guilty within a particular place, context, or proceeding.
  • D. condemnedBy
    Indicates that an entity is judged, denounced, or declared wrong or unacceptable by another entity.
  • E. condemnedAs
    Indicates that one entity formally or strongly denounces another entity by labeling it as wrong, guilty, or unacceptable.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930bd1d48190abd6c47da0a3ebc8 completed April 14, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69de5c487b4c819097803e58dca628a5 completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:20 a.m.