Triple

T18282352
Position Surface form Disambiguated ID Type / Status
Subject Jesu Hominum Salvator E437893 entity
Predicate grammaticalCaseOfHominum P13618 FINISHED
Object genitivePlural 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: genitivePlural | Statement: [Jesu Hominum Salvator, grammaticalCaseOfHominum, genitivePlural]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grammaticalCaseOfHominum
Context triple: [Jesu Hominum Salvator, grammaticalCaseOfHominum, genitivePlural]
  • A. grammaticalCaseSystem
    Indicates a relationship where a language employs a system of grammatical cases to mark the roles and relationships of nouns and related elements in sentences.
  • B. numberOfGrammaticalCases
    Indicates the relationship that specifies how many distinct grammatical cases a language or linguistic system possesses.
  • C. grammaticalPerson
    Indicates the grammatical role of a participant in speech (such as first, second, or third person) in relation to the speaker and listener.
  • D. hasGrammaticalGender
    Indicates that one entity assigns or possesses a specific grammatical gender in relation to another entity (such as a word, phrase, or linguistic unit).
  • E. hasCaseForms chosen
    Indicates that an entity possesses multiple grammatical case variants or inflected forms associated with it.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50057c5c881909fcda72f4a98c8c3 completed April 19, 2026, 4:18 p.m.
PD Predicate disambiguation batch_69e44fd81c788190b08c6be3b07a08c5 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:35 a.m.