Triple

T10789774
Position Surface form Disambiguated ID Type / Status
Subject Wiesbaden E254546 entity
Predicate hasLandmark P105 FINISHED
Object Neroberg E885980 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: Neroberg | Statement: [Wiesbaden, hasLandmark, Neroberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neroberg
Context triple: [Wiesbaden, hasLandmark, Neroberg]
  • A. Neroberg hill chosen
    Neroberg hill is a prominent wooded elevation and recreational area in Wiesbaden, Germany, known for its scenic views, historic Nerobergbahn funicular, and landmark Russian Orthodox Church.
  • B. Bärenstein hill
    Bärenstein hill is a prominent natural elevation near Plauen in Saxony, Germany, known for its scenic views over the surrounding Vogtland landscape.
  • C. Mönchsberg
    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.
  • D. 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.
  • E. Eibenberg
    Eibenberg is a small locality that forms one of the subdivisions of the municipality of Burkhardtsdorf in Saxony, 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f4b1388190a1364e56a90e8388 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84ddd6f48190a11eae9233d3ef9f completed April 14, 2026, 6:18 p.m.
Created at: April 8, 2026, 9:17 p.m.