Triple

T16222785
Position Surface form Disambiguated ID Type / Status
Subject Winterthur railway station E393769 entity
Predicate connectsTo P845 FINISHED
Object Lucerne E31684 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: Lucerne | Statement: [Winterthur railway station, connectsTo, Lucerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucerne
Context triple: [Winterthur railway station, connectsTo, 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 (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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fcf058819099d5ff965cc2c267 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079a5c1481909485e1b4a41f5d2c completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.