Triple

T9962802
Position Surface form Disambiguated ID Type / Status
Subject Papyrus 66 E195608 entity
Predicate hasNominaSacra P85107 FINISHED
Object yes 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: yes | Statement: [Papyrus 66, hasNominaSacra, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNominaSacra
Context triple: [Papyrus 66, hasNominaSacra, yes]
  • A. nominaSacra chosen
    Indicates that a word or name is written in its abbreviated sacred form, as used in early Christian manuscripts.
  • B. hasSacredSymbol
    Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
  • C. sacredStatus
    Indicates that something holds a revered, holy, or religiously significant status within a particular belief system or tradition.
  • D. consecratedBy
    Indicates that one entity has been formally made sacred, dedicated, or set apart for religious use through a ritual or act performed by another entity.
  • E. principalSacrament
    Indicates that one sacrament holds primary or highest importance in relation to another or within a given religious or ritual context.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb718cd588190a4aac48220deddec completed April 2, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:47 p.m.