Triple

T22836011
Position Surface form Disambiguated ID Type / Status
Subject Roman of Bulgaria E565948 entity
Predicate reasonForNoHeirs P41735 FINISHED
Object castration 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: castration | Statement: [Roman of Bulgaria, reasonForNoHeirs, castration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForNoHeirs
Context triple: [Roman of Bulgaria, reasonForNoHeirs, castration]
  • A. hadNoLegitimateHeirs
    Indicates that the person died without any legally recognized offspring who could inherit their title, property, or rights.
  • B. reasonForNoGrave
    Indicates the circumstance or explanation for why an individual does not have a grave or burial site.
  • C. reasonForSuccession
    Indicates the specific cause, circumstance, or justification that led one entity to succeed or replace another.
  • D. hadNoSurvivingChildren
    Indicates that the person did not have any children who were alive at the relevant point in time.
  • E. reasonForLossOfSuccessionRights chosen
    Indicates the specific cause or circumstance that led to an individual losing their rights of succession.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2f09608190bc8e465e53b39e2e completed April 29, 2026, 3:42 a.m.
PD Predicate disambiguation batch_69eed2d117088190acbfe130d84f8627 completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:35 p.m.