Triple

T1467824
Position Surface form Disambiguated ID Type / Status
Subject EDF E27064 entity
Predicate tickerSymbol P1447 FINISHED
Object EDF E27064 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: EDF | Statement: [EDF, tickerSymbol, EDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDF
Context triple: [EDF, tickerSymbol, EDF]
  • A. EDF chosen
    EDF (Électricité de France) is France’s main state-owned electric utility company and one of the world’s largest producers and suppliers of electricity, particularly known for its extensive nuclear power operations.
  • B. Rénergie
    Rénergie is a premium anti-aging skincare line by Lancôme known for its lifting, firming, and wrinkle-reducing treatments.
  • C. EEF
    EEF is the abbreviation for the Economist Educational Foundation, a charity that promotes economic and financial literacy through educational resources and programs.
  • D. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • E. Energetica
    Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d70a948190b50a6c1b36abc740 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7e7f848190a8abcb73e89e8e34 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8:01 p.m.