Triple

T4259643
Position Surface form Disambiguated ID Type / Status
Subject Épernay E96071 entity
Predicate hasDemonym P191 FINISHED
Object Sparnacienne E427455 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: Sparnacienne | Statement: [Épernay, hasDemonym, Sparnacienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparnacienne
Context triple: [Épernay, hasDemonym, Sparnacienne]
  • A. Sparnacien chosen
    Sparnacien is the French demonym for an inhabitant of the town of Épernay in the Champagne region.
  • B. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • C. Sombreffe
    Sombreffe is a municipality in the Walloon region of Belgium, historically notable for its proximity to key Napoleonic battlefields, including Ligny and Quatre Bras.
  • D. Magrathean
    Magratheans are a fictional, highly advanced planet-building species from Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series.
  • E. Fages
    Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f7fe7348190baed8d214268b756 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c718a3188190851735afc3aa033f completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:06 p.m.