Triple

T6779534
Position Surface form Disambiguated ID Type / Status
Subject Femke Halsema E155644 entity
Predicate familyName P18 FINISHED
Object Halsema E155644 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: Halsema | Statement: [Femke Halsema, familyName, Halsema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halsema
Context triple: [Femke Halsema, familyName, Halsema]
  • A. Halsema chosen
    Halsema is a Dutch surname most prominently associated with Femke Halsema, a politician who became the first female mayor of Amsterdam.
  • B. Spaak
    Spaak is a Belgian surname most notably associated with Paul-Henri Spaak, a key statesman and founding figure of European integration.
  • C. Anton Mussert
    Anton Mussert was a Dutch fascist politician who co-founded and led the National Socialist Movement in the Netherlands and collaborated with Nazi Germany during World War II.
  • D. Witte de With
    Witte de With was a prominent 17th-century Dutch admiral known for his aggressive naval leadership in the Anglo-Dutch Wars.
  • E. De Wever
    De Wever is a Flemish surname most prominently associated with Belgian politician Bart De Wever, a leading figure in contemporary Flemish nationalism.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26a1634819099b8a3b3196a306a completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712cf86e08190bd07c98f01ac5e19 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:14 p.m.