Triple

T5160837
Position Surface form Disambiguated ID Type / Status
Subject Charles Louis Ferdinand Dutert E116431 entity
Predicate familyName P18 FINISHED
Object Dutert E116431 NE 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: Dutert | Statement: [Charles Louis Ferdinand Dutert, familyName, Dutert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dutert
Context triple: [Charles Louis Ferdinand Dutert, familyName, Dutert]
  • A. Dutert chosen
    Dutert is the surname of Charles Louis Ferdinand Dutert, a French architect best known for designing the Galerie des Machines for the 1889 Exposition Universelle in Paris.
  • B. Ninove
    Ninove is a city in the Belgian province of East Flanders, known for its historical center and past role in major cycling events.
  • C. Paolo Duterte
    Paolo Duterte is a Filipino politician and businessman who has served as vice mayor of Davao City and is the son of former Philippine president Rodrigo Duterte.
  • D. Rodrigo Duterte
    Rodrigo Duterte is a Filipino politician and lawyer who served as the 16th president of the Philippines, known for his hardline policies and controversial war on drugs.
  • E. Ate-Vitarte
    Ate-Vitarte is a district in the eastern part of Lima, Peru, known for its rapid urban growth and mixed residential and industrial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79073a54819080cd1e8de6fe906a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed92b3ab48190900cf5c246dba433 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.