Triple

T10318583
Position Surface form Disambiguated ID Type / Status
Subject Petersberg Hotel E242082 entity
Predicate near P350 FINISHED
Object Königswinter E432458 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: Königswinter | Statement: [Petersberg Hotel, near, Königswinter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Königswinter
Context triple: [Petersberg Hotel, near, Königswinter]
  • A. Königswinter chosen
    Königswinter is a town on the right bank of the Rhine in North Rhine-Westphalia, Germany, known for the Drachenfels hill and its scenic location in the Siebengebirge range.
  • B. Fürstenzug
    Fürstenzug is a famous large porcelain mural in Dresden depicting a procession of Saxon rulers.
  • C. Am Hof
    Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
  • D. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • E. La Maison Nucingen
    La Maison Nucingen is a novel by Honoré de Balzac that explores Parisian high finance, social ambition, and corruption within the broader cycle of La Comédie humaine.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35e019081909cc296d73227a3ed completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d94aba48190aa40201d46f7ba2f completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:49 a.m.