Triple

T13715933
Position Surface form Disambiguated ID Type / Status
Subject Minister of Economy, Finance and Budget of France E328898 entity
Predicate officeLocation P40 FINISHED
Object Bercy, Paris E261662 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: Bercy, Paris | Statement: [Minister of Economy, Finance and Budget of France, officeLocation, Bercy, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bercy, Paris
Context triple: [Minister of Economy, Finance and Budget of France, officeLocation, Bercy, Paris]
  • A. Bercy chosen
    Bercy is a Paris Métro station serving the Bercy district, known for its proximity to the Accor Arena and the Ministry of the Economy and Finance.
  • B. Billancourt
    Billancourt is a Paris Métro station in Boulogne-Billancourt serving the western suburbs of the French capital.
  • C. Parc de Bercy
    Parc de Bercy is a large contemporary urban park in eastern Paris known for its landscaped gardens, ponds, and cultural venues near the Seine.
  • D. Bercy station
    Bercy station is a Paris Métro and railway station in the 12th arrondissement that serves the Bercy district and provides access to major venues and intercity train services.
  • E. Bourg-la-Reine, France
    Bourg-la-Reine, France is a suburban commune just south of Paris, known historically as the place where Enlightenment philosopher and mathematician Marquis de Condorcet died.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.