Triple

T17150165
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Urgell E416198 entity
Predicate coPrinceWith P16987 FINISHED
Object President of France 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: President of France | Statement: [Diocese of Urgell, coPrinceWith, President of France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coPrinceWith
Context triple: [Diocese of Urgell, coPrinceWith, President of France]
  • A. coPrince chosen
    Indicates a relationship in which two or more individuals simultaneously share and exercise the rank and authority of prince over the same domain or polity.
  • B. coKingWith
    Indicates a relationship where two or more entities share kingship or jointly hold the position and authority of king at the same time.
  • C. crownPrinceTo
    Indicates that one entity is the designated crown prince or heir apparent to another entity, typically a monarch or ruling position.
  • D. princessOf
    Indicates that one entity holds the royal title or role of princess in relation to another entity, typically a realm, family, or sovereign.
  • E. crownPrinceFrom
    Indicates that one entity is the crown prince originating from, or holding that title in relation to, another entity (typically a country, state, or royal house).
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4067470819084aa233c4c4a6d4f completed April 18, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69e3830d2a90819092386717dc56f0e8 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:36 a.m.