Triple

T19480972
Position Surface form Disambiguated ID Type / Status
Subject The Best Divisions for Knowledge of the Regions E487379 entity
Predicate chronologyOfComposition P6964 FINISHED
Object late 10th century 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: late 10th century | Statement: [The Best Divisions for Knowledge of the Regions, chronologyOfComposition, late 10th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chronologyOfComposition
Context triple: [The Best Divisions for Knowledge of the Regions, chronologyOfComposition, late 10th century]
  • A. historicalComposition
    Indicates that one entity was historically part of, or contributed to the makeup or structure of, another entity during a past period.
  • B. chronologyOf
    Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
  • C. dateOfComposition chosen
    Indicates the calendar date or time period when a particular work was created or composed.
  • D. chronologyInArtistRepertoire
    Indicates the temporal order in which works appear within an artist’s repertoire or body of work.
  • E. chronologyWithinAlbum
    Indicates that one track or event occurs at a specific position or order relative to others within the same album’s sequence.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e634393b8081909f5e4c38b2f1a9b7 completed April 20, 2026, 2:12 p.m.
PD Predicate disambiguation batch_69e4fd7883308190b73912a71a35a835 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:39 p.m.