Triple

T19293508
Position Surface form Disambiguated ID Type / Status
Subject Festungsberg E482499 entity
Predicate adjacentTo P224 FINISHED
Object Nonnberg 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: Nonnberg | Statement: [Festungsberg, adjacentTo, Nonnberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nonnberg
Context triple: [Festungsberg, adjacentTo, Nonnberg]
  • A. Nonnberg Abbey chosen
    Nonnberg Abbey is a historic Benedictine convent in Salzburg, Austria, best known internationally as the real-life convent featured in the story and film "The Sound of Music."
  • B. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • C. Alzenberg
    Alzenberg is a small district or locality that forms part of the town of Calw in the state of Baden-Württemberg, Germany.
  • D. Marxheim
    Marxheim is a district of the town Hofheim am Taunus in the German state of Hesse.
  • E. Beyenburg
    Beyenburg is a historic district in the eastern part of Wuppertal, Germany, known for its medieval monastery, reservoir, and well-preserved village character.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc824b448190865230eed8ef9ebf completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.