Triple

T28933934
Position Surface form Disambiguated ID Type / Status
Subject Lancelot propre E733861 entity
Predicate hasManuscriptWitnessesIn P93289 FINISHED
Object medieval French manuscripts 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: medieval French manuscripts | Statement: [Lancelot propre, hasManuscriptWitnessesIn, medieval French manuscripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasManuscriptWitnessesIn
Context triple: [Lancelot propre, hasManuscriptWitnessesIn, medieval French manuscripts]
  • A. manuscriptWitness
    Indicates that one entity serves as a manuscript witness (a specific physical manuscript or copy) that attests to or preserves the text of another entity.
  • B. areManuscriptsOf
    Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object entity.
  • C. copiedManuscriptsOf
    Indicates that one entity has produced or created handwritten reproductions of the manuscripts belonging to another entity.
  • D. writtenInSameManuscriptAs
    Indicates that two written works or textual items appear together within the same physical or digital manuscript.
  • E. hasManuscriptsIn chosen
    Indicates that an entity possesses or is associated with manuscripts that are located in a specified place or collection.
  • 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_69f05b0b49b08190b8994b339c7980f6 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fef5cf8da881908260ec633830375d completed May 9, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69fef455e40481909861c82007b79bc0 completed May 9, 2026, 8:46 a.m.
Created at: April 28, 2026, 8:30 a.m.