Triple

T23228798
Position Surface form Disambiguated ID Type / Status
Subject Dore and Totley railway station E581090 entity
Predicate serves P98 FINISHED
Object Dore 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: Dore | Statement: [Dore and Totley railway station, serves, Dore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dore
Context triple: [Dore and Totley railway station, serves, Dore]
  • A. Dore chosen
    Dore is a suburban village on the southwestern edge of Sheffield, England, known for its affluent residential character and proximity to the Peak District.
  • B. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • C. Carolus-Duran
    Carolus-Duran was a prominent 19th-century French portrait painter and influential teacher known for his bold, painterly style and for mentoring artists such as John Singer Sargent.
  • D. Zadkine
    Zadkine is a surname most prominently associated with Ossip Zadkine, a 20th-century sculptor known for his expressive, Cubist-influenced works.
  • E. Leyendecker
    Leyendecker is a German-origin surname most famously associated with early 20th-century American illustrators, including brothers J.C. Leyendecker and Frank X. Leyendecker.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192302e508190b286c284a261f172 completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.