Triple

T17810534
Position Surface form Disambiguated ID Type / Status
Subject Charles Orland, Dauphin of France E444688 entity
Predicate nobleTitle P914 FINISHED
Object Dauphin 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: Dauphin | Statement: [Charles Orland, Dauphin of France, nobleTitle, Dauphin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dauphin
Context triple: [Charles Orland, Dauphin of France, nobleTitle, Dauphin]
  • A. Dauphin chosen
    The Dauphin was the traditional title given to the heir apparent to the throne of France under the Ancien Régime.
  • B. Duchesne
    Duchesne refers to Antoine Nicolas Duchesne, an 18th-century French botanist and horticulturist known for his pioneering work on strawberries and other cultivated plants.
  • C. Jonquière
    Jonquière is a former city in Quebec, Canada, now a borough of Saguenay, known historically for its industrial development and aluminum production.
  • D. Fermont
    Fermont is a remote mining town in northeastern Quebec, Canada, known for its large iron ore operations and distinctive windbreak building designed to shield the community from harsh Arctic winds.
  • E. La Berri
    La Berri is the commonly used nickname for La Berrichonne de Châteauroux, a French professional football club based in Châteauroux.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887a50488190b9c148146ec607e6 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.