Triple

T5878043
Position Surface form Disambiguated ID Type / Status
Subject United Nations Convention to Combat Desertification secretariat E130674 entity
Predicate headquartersLocation P62 FINISHED
Object Bonn, Germany E23133 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: Bonn, Germany | Statement: [United Nations Convention to Combat Desertification secretariat, headquartersLocation, Bonn, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonn, Germany
Context triple: [United Nations Convention to Combat Desertification secretariat, headquartersLocation, Bonn, Germany]
  • A. Bonn chosen
    Bonn is a historic German city on the Rhine River, best known for being the birthplace of Ludwig van Beethoven and the former seat of the federal government before reunification.
  • B. Linden, Germany
    Linden, Germany is a small town in the state of Hesse known for its historical roots and traditional German character.
  • C. Bergen, Germany
    Bergen, Germany is a small town in Lower Saxony best known for its proximity to the former Bergen-Belsen concentration camp and its historical military significance.
  • D. Nassau, Germany
    Nassau, Germany is a historic town on the Lahn River in the state of Rhineland-Palatinate, known as the ancestral seat of the House of Nassau.
  • E. Hamm, Germany
    Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03630eefc8190ad1aaa1919ecf97f completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b12861c081909f95f1ef6a1f457c completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.