Triple

T11272897
Position Surface form Disambiguated ID Type / Status
Subject Nonnenwerth E266856 entity
Predicate nearGeographicalFeature P2064 FINISHED
Object Drachenfels E883899 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: Drachenfels | Statement: [Nonnenwerth, nearGeographicalFeature, Drachenfels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drachenfels
Context triple: [Nonnenwerth, nearGeographicalFeature, Drachenfels]
  • A. Drachenfels chosen
    Drachenfels is a prominent hill on the Rhine in western Germany, famed for its ruined castle, scenic views, and association with legends such as the Nibelungen saga.
  • B. Falkenfels
    Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
  • C. Königsstuhl von Rhens
    Der Königsstuhl von Rhens ist ein historischer steinerner Königswahl- und Versammlungsplatz am Rhein, an dem im Mittelalter deutsche Könige und Kaiser feierlich anerkannt wurden.
  • 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. Bocksberg
    Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a0edcd081908547745d16d643ab completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:31 p.m.