Triple

T43872
Position Surface form Disambiguated ID Type / Status
Subject West Germany E862 entity
Predicate executiveCapital P204 FINISHED
Object Bonn E23133 NE FINISHED

How this triple was built (3 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 | Statement: [West Germany, executiveCapital, Bonn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonn
Context triple: [West Germany, executiveCapital, Bonn]
  • 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. Frankfurt am Main
    Frankfurt am Main is a major German financial and transportation hub on the River Main, known for hosting the European Central Bank and one of Europe’s busiest airports.
  • C. Heidelberg
    Heidelberg is a historic university city in southwestern Germany renowned for its picturesque old town, castle ruins, and one of Europe’s oldest universities.
  • D. Osnabrück
    Osnabrück is a historic city in Lower Saxony, Germany, known for its medieval architecture and role in the Peace of Westphalia.
  • E. Hamburg
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: executiveCapital
Context triple: [West Germany, executiveCapital, Bonn]
  • A. executiveBody
    Indicates that an entity serves as the executive governing authority or decision-making body for another entity.
  • B. capital
    Indicates that one place serves as the official seat of government or primary administrative center for another political entity.
  • C. hasCapital chosen
    Indicates that a place or political entity has a specific city designated as its capital.
  • D. endowment
    Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
  • E. economicAspect
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • F. None of above.

Provenance (4 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24c083ad081909c1122c8fb29efdc completed Feb. 28, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305dff8b88190b82db3adf474b271 completed Feb. 28, 2026, 3:12 p.m.
PD Predicate disambiguation batch_69a24aba9a2c81909f769a8f22e30c92 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.