Triple

T19293507
Position Surface form Disambiguated ID Type / Status
Subject Festungsberg E482499 entity
Predicate adjacentTo P224 FINISHED
Object Mönchsberg 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: Mönchsberg | Statement: [Festungsberg, adjacentTo, Mönchsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mönchsberg
Context triple: [Festungsberg, adjacentTo, Mönchsberg]
  • A. Mönchsberg chosen
    Mönchsberg is a prominent wooded hill in the center of Salzburg, Austria, known for its scenic walking paths, historic fortifications, and panoramic views over the old town.
  • B. Witzmannsberg
    Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
  • C. Sieglitzer Berg
    Sieglitzer Berg is a wooded landscape area and former hunting ground that forms part of the UNESCO-listed Garden Kingdom of Dessau-Wörlitz in Saxony-Anhalt, Germany.
  • D. Festungsberg
    Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
  • E. Hardtberg
    Hardtberg is a borough of the German city of Bonn, located in the western part of the city and comprising several residential and administrative districts.
  • 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.