Triple

T18480810
Position Surface form Disambiguated ID Type / Status
Subject Untersbergbahn E451550 entity
Predicate terminusLocation P388 FINISHED
Object St. Leonhard 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: St. Leonhard | Statement: [Untersbergbahn, terminusLocation, St. Leonhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Leonhard
Context triple: [Untersbergbahn, terminusLocation, St. Leonhard]
  • A. St. Leonhard chosen
    St. Leonhard is a locality near Salzburg, Austria, known as the valley station area for the Untersbergbahn cable car that ascends the Untersberg mountain.
  • B. Saint Pölten
    Saint Pölten is an Austrian football club based in the city of Sankt Pölten, known for competing in the country’s professional league system.
  • C. St. Kajetan
    St. Kajetan is the common name for the Theatinerkirche, a prominent Baroque Catholic church in Munich, Germany.
  • D. Sankt Heinrich
    Sankt Heinrich is a small village in Bavaria, Germany, that forms part of the municipality of Münsing near Lake Starnberg.
  • E. Saint Gall
    Saint Gall was an Irish missionary and monk of the early Middle Ages, best known as the founder and namesake of the Swiss city and abbey of St. Gallen.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d3d13c81909c52d797360b840a completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.