Triple

T4238776
Position Surface form Disambiguated ID Type / Status
Subject Corine Mauch E94758 entity
Predicate givenName P17 FINISHED
Object Corine E108601 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: Corine | Statement: [Corine Mauch, givenName, Corine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corine
Context triple: [Corine Mauch, givenName, Corine]
  • A. Corine chosen
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • B. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • C. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • D. Nadur
    Nadur is a traditional village on the eastern side of the Maltese island of Gozo, known for its rural character, scenic viewpoints, and historic parish church.
  • E. Louvois
    Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e76b6e0819084d0ce137b5ba74e completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b779a93081909af1abdf664f040f completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.