Triple

T18072273
Position Surface form Disambiguated ID Type / Status
Subject Königswinter E432458 entity
Predicate hasHill P24292 FINISHED
Object Petersberg 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: Petersberg | Statement: [Königswinter, hasHill, Petersberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petersberg
Context triple: [Königswinter, hasHill, Petersberg]
  • A. Petersberg
    Petersberg is a municipality in the Saalekreis district of Saxony-Anhalt, Germany, known for its rural character and proximity to the city of Halle (Saale).
  • B. Petersberg chosen
    Petersberg is a hill near Bonn in Germany best known for its historic grand hotel that has hosted numerous high-profile political events and conferences.
  • C. La Hague
    La Hague is a coastal commune in northwestern France known for its rugged cliffs, scenic landscapes, and proximity to major nuclear reprocessing facilities.
  • D. Eidsberg
    Eidsberg is a former municipality and rural town area in southeastern Norway, historically part of Østfold county and known for its agricultural landscape and cultural heritage.
  • E. Cölln
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccef022c81909be41b2c3a3ee68e completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.