Triple

T13036020
Position Surface form Disambiguated ID Type / Status
Subject Station F E326562 entity
Predicate inauguratedBy P5450 FINISHED
Object Emmanuel Macron E4773 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: Emmanuel Macron | Statement: [Station F, inauguratedBy, Emmanuel Macron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuel Macron
Context triple: [Station F, inauguratedBy, Emmanuel Macron]
  • A. Emmanuel Macron chosen
    Emmanuel Macron is a French politician and former investment banker who has served as President of France since 2017, known for his centrist, pro-European Union stance.
  • B. Jean-Michel Macron
    Jean-Michel Macron is a French neurologist and the father of Emmanuel Macron, the President of France.
  • C. Macron
    Macron is an Italian sportswear company known for designing and manufacturing athletic apparel and equipment for professional and amateur teams worldwide.
  • D. Manuel Valls
    Manuel Valls is a French politician who served as Prime Minister of France in the mid-2010s and was previously Minister of the Interior and a leading figure in the Socialist Party.
  • E. Édouard Philippe
    Édouard Philippe is a French politician who served as Prime Minister of France from 2017 to 2020 under President Emmanuel Macron.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcf11f88190ab1746f973132af1 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.