Triple

T11751642
Position Surface form Disambiguated ID Type / Status
Subject DPMI E279419 entity
Predicate relatedTo P37 FINISHED
Object EMS unclear NED1 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: EMS | Statement: [DPMI, relatedTo, EMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMS
Context triple: [DPMI, relatedTo, EMS]
  • A. EMS
    EMS is an emergency medical services organization that provides pre-hospital care and ambulance transport in response to medical emergencies.
  • B. 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.
  • C. EMS
    EMS is a Christian mission organization focused on international partnership, evangelism, and social justice work, particularly within the global evangelical community.
  • D. Ems Dispatch
    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.
  • E. EMA
    EMA is the three-letter IATA airport code for East Midlands Airport in England, which serves the East Midlands region with domestic and international flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a509c2448190b0deb7ed29c3a73f completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a13550081909a26f57b30d68e03 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.