Triple

T20289968
Position Surface form Disambiguated ID Type / Status
Subject Basel–Lucerne railway line E509992 entity
Predicate endPoint P390 FINISHED
Object Lucerne 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: Lucerne | Statement: [Basel–Lucerne railway line, endPoint, Lucerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucerne
Context triple: [Basel–Lucerne railway line, endPoint, Lucerne]
  • A. Lucerne chosen
    Lucerne is a picturesque Swiss city known for its preserved medieval architecture, lakeside setting on Lake Lucerne, and proximity to the Swiss Alps.
  • B. Vetch
    Vetch is a surname most notably associated with Samuel Vetch, a colonial governor of Nova Scotia in the early 18th century.
  • C. Vetch
    Vetch is a loyal and skilled wizard in Ursula K. Le Guin’s Earthsea series, serving as Ged’s close friend and steadfast companion on his journeys.
  • D. Parsley Hay
    Parsley Hay is a small hamlet and popular cycling and walking hub in the Peak District National Park, known for its trailhead facilities on former railway routes.
  • E. Alfalfa
    Alfalfa is a beloved character from the classic "Our Gang" (later known as "The Little Rascals") comedy shorts, recognizable for his cowlick hairstyle and off-key singing.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67695d4d48190b932317d37aa95d9 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:11 a.m.