Triple

T22879485
Position Surface form Disambiguated ID Type / Status
Subject Benedetti E567419 entity
Predicate relatedTo P37 FINISHED
Object Ems Dispatch 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: Ems Dispatch | Statement: [Benedetti, relatedTo, Ems Dispatch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ems Dispatch
Context triple: [Benedetti, relatedTo, Ems Dispatch]
  • A. Ems Dispatch chosen
    The Ems Dispatch was a deliberately edited telegram from King Wilhelm I of Prussia whose publication in 1870 inflamed Franco-Prussian tensions and helped trigger the Franco-Prussian War.
  • B. EMS
    EMS is a Christian mission organization focused on international partnership, evangelism, and social justice work, particularly within the global evangelical community.
  • C. EMS
    EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
  • D. EMS
    EMS is the vehicle registration code used on license plates for vehicles registered in the district of Rhein-Lahn-Kreis, whose administrative seat is Nassau, in the German state of Rhineland-Palatinate.
  • E. EMS
    EMS (Enhanced Messaging Service) is a mobile messaging standard that extends basic SMS by allowing the exchange of simple multimedia content such as formatted text, icons, animations, and ringtones between compatible phones.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5b1ea481909a31a8ed6792ad04 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.