Triple

T10657472
Position Surface form Disambiguated ID Type / Status
Subject Affoltern E251129 entity
Predicate locatedNear P294 FINISHED
Object Käferberg E630082 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: Käferberg | Statement: [Affoltern, locatedNear, Käferberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Käferberg
Context triple: [Affoltern, locatedNear, Käferberg]
  • A. Käferberg chosen
    Käferberg is a wooded hill in the city of Zurich, Switzerland, known for its recreational areas, walking trails, and views over the city and Lake Zurich.
  • 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. Limpertsberg
    Limpertsberg is an affluent residential and educational district of Luxembourg City known for its elegant townhouses, schools, and proximity to the city center.
  • D. Festungsberg
    Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
  • E. 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.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e0157dbc81909ef7d61f65b2fd93 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a7aa490819094c7eaf3fc5e2c43 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:07 p.m.