Triple

T38130287
Position Surface form Disambiguated ID Type / Status
Subject Clovis II E952199 entity
Predicate successorInBurgundy P198188 FINISHED
Object Chlothar III 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: Chlothar III | Statement: [Clovis II, successorInBurgundy, Chlothar III]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorInBurgundy
Context triple: [Clovis II, successorInBurgundy, Chlothar III]
  • A. successorAsKingOfBurgundy chosen
    Indicates that one person became the next king of Burgundy following another person’s reign.
  • B. successorAsDukeOfBurgundy
    Indicates that one entity became the next Duke of Burgundy following another entity in the line of succession.
  • C. predecessorInBurgundy
    Indicates that one entity previously held a position, role, or status in Burgundy that was later held by the other entity.
  • D. successorAsDukeOfBrittany
    Indicates that one entity became the next Duke of Brittany following another entity in the line of succession.
  • E. successorAsDukeOfAnjou
    Indicates that one entity became the next holder of the title Duke of Anjou after another entity.
  • 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_69f76f083548819082bd2bbf53c79e8e completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a00d508290081909f3d5dfbb2e80c8e completed May 10, 2026, 6:57 p.m.
PD Predicate disambiguation batch_6a00d49da4cc81909566ad286ec22292 completed May 10, 2026, 6:55 p.m.
Created at: May 3, 2026, 4:21 p.m.