Triple

T223213
Position Surface form Disambiguated ID Type / Status
Subject Femke Halsema E4261 entity
Predicate name P16 FINISHED
Object Femke Halsema E4261 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: Femke Halsema | Statement: [Femke Halsema, name, Femke Halsema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Femke Halsema
Context triple: [Femke Halsema, name, Femke Halsema]
  • A. Femke Halsema chosen
    Femke Halsema is a Dutch politician and former leader of the GreenLeft party who serves as the first female mayor of Amsterdam.
  • B. Mark Rutte
    Mark Rutte is a Dutch liberal politician who served for many years as the Netherlands’ longest-tenured prime minister and leader of the People’s Party for Freedom and Democracy (VVD).
  • C. Jan Peter Balkenende
    Jan Peter Balkenende is a Dutch Christian Democratic politician who served as Prime Minister of the Netherlands in the 2000s before being succeeded by Mark Rutte.
  • D. Alexander De Croo
    Alexander De Croo is a Belgian liberal politician who has served as Prime Minister of Belgium, leading the federal government.
  • E. Herman De Croo
    Herman De Croo is a veteran Belgian liberal politician and long-serving member of parliament who has held several ministerial posts and served as President of the Chamber of Representatives.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c7194fc8190a2d02d446ae3a75e completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34d96acd88190ae3c8c86bee2572c completed Feb. 28, 2026, 8:18 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.