Triple

T15454425
Position Surface form Disambiguated ID Type / Status
Subject Frimaire E371731 entity
Predicate precedes P97 FINISHED
Object Nivôse E371732 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: Nivôse | Statement: [Frimaire, precedes, Nivôse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nivôse
Context triple: [Frimaire, precedes, Nivôse]
  • A. Nivôse chosen
    Nivôse is the fourth month of the French Republican Calendar, corresponding roughly to late December and early January and associated with snow and winter.
  • B. Pluviôse
    Pluviôse is the fifth month of the French Republican Calendar, corresponding roughly to late January and early February and named for its typically rainy weather.
  • C. Fabvier
    Fabvier was a prominent French Philhellene and military officer who played a key role in supporting the Greek War of Independence in the early 19th century.
  • D. Floréal
    Floréal is the eighth springtime month of the French Republican Calendar, named to evoke the flowering period of the year.
  • E. Frimaire
    Frimaire is the third month of the French Republican Calendar, corresponding roughly to late November and early December and associated with frost and early winter.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f131b1481909ff099c3b844ee07 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b5e1788190bdc8182822f25fa1 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:31 a.m.