Triple

T34536731
Position Surface form Disambiguated ID Type / Status
Subject Arxiu Nacional de Catalunya E886688 entity
Predicate archivesFromTimePeriod P38300 FINISHED
Object Middle Ages NE NERFINISHED

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: Middle Ages | Statement: [Arxiu Nacional de Catalunya, archivesFromTimePeriod, Middle Ages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: archivesFromTimePeriod
Context triple: [Arxiu Nacional de Catalunya, archivesFromTimePeriod, Middle Ages]
  • A. archivesPeriod chosen
    Indicates that one entity serves as an archival record or repository for materials, information, or events associated with a specified time period.
  • B. archivesOrRecords
    Indicates that one entity serves as an archive or record-keeping resource for another entity or its activities.
  • C. archivesScope
    Indicates that one entity defines or delimits the scope or coverage of another entity’s archival content or records.
  • D. archivesType
    Indicates that one entity serves as an archival record or stored version of another entity, specifying the type or category of that archived content.
  • E. archivesModel
    Indicates that one entity stores and preserves another entity as an archived model for long-term reference or retrieval.
  • 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_69f349ce5eb881909e431c670944aa68 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fba2877b248190a974eb092243c0c4 completed May 6, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69fb8d06a1b48190a937aa410d159dfa completed May 6, 2026, 6:48 p.m.
Created at: May 1, 2026, 2:02 a.m.