Triple

T21598010
Position Surface form Disambiguated ID Type / Status
Subject Éditions Larousse E532953 entity
Predicate hasBrand P1500 FINISHED
Object Larousse NE NERFINISHED

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: Larousse | Statement: [Éditions Larousse, hasBrand, Larousse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larousse
Context triple: [Éditions Larousse, hasBrand, Larousse]
  • A. Larousse Encyclopedia
    The Larousse Encyclopedia is a comprehensive French reference work covering a wide range of subjects, published by the renowned Larousse publishing house.
  • B. Le Petit Robert
    Le Petit Robert is a widely used monolingual French dictionary renowned for its comprehensive coverage of contemporary French vocabulary and usage.
  • C. Éditions Larousse chosen
    Éditions Larousse is a renowned French publishing house best known for its dictionaries, encyclopedias, and reference works in the French language.
  • D. Funk and Wagnalls
    Funk and Wagnalls was an American publishing company best known for producing encyclopedias, dictionaries, and other reference works in the late 19th and 20th centuries.
  • E. Brockhaus
    Brockhaus is a historic German publishing house best known for its encyclopedias and for issuing significant philosophical works in the 19th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae2fc908190b989f39e8cefffb2 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.