Triple

T4508789
Position Surface form Disambiguated ID Type / Status
Subject Auxerrois E101998 entity
Predicate alsoKnownAs P39 FINISHED
Object Pressac E96552 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: Pressac | Statement: [Auxerrois, alsoKnownAs, Pressac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pressac
Context triple: [Auxerrois, alsoKnownAs, Pressac]
  • A. Pressac chosen
    Pressac is a traditional French name for the Malbec grape variety, widely used in red wines from regions such as Cahors and Bordeaux.
  • B. Pepusch
    Pepusch is a surname most notably associated with Johann Christoph Pepusch, a German-born Baroque composer who worked extensively in London.
  • C. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • D. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • E. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570f9b1c8190b52ace855dbf6641 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f7c1bd08190bc7b7028a512a466 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.