Triple

T19732988
Position Surface form Disambiguated ID Type / Status
Subject Hahnenmoos Pass E473900 entity
Predicate connects P390 FINISHED
Object Lenk 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: Lenk | Statement: [Hahnenmoos Pass, connects, Lenk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenk
Context triple: [Hahnenmoos Pass, connects, Lenk]
  • A. Lenk chosen
    Lenk is a Swiss alpine village and resort in the Bernese Oberland, known for its scenic mountain surroundings and outdoor recreation opportunities.
  • B. Bavier
    Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
  • C. Graditz
    Graditz is a locality in Germany known historically as the place where Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, died.
  • D. Lech
    Lech is a Polish masculine given name most famously borne by Lech Wałęsa, the Solidarity leader and former president of Poland.
  • E. Lech
    Lech is a major river in Central Europe that flows through Austria and southern Germany before joining the Danube.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e651596b98819090bcaf05c7b74555 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.