Triple

T10255610
Position Surface form Disambiguated ID Type / Status
Subject Magdeburg E240455 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MD E656036 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: MD | Statement: [Magdeburg, vehicleRegistrationCode, MD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MD
Context triple: [Magdeburg, vehicleRegistrationCode, MD]
  • A. MD
    MD is the station code used to identify Maitland railway station in New South Wales, Australia.
  • B. MD
    MD is a postgraduate medical degree focused on advanced clinical training and specialization for physicians.
  • C. MD chosen
    MD is the vehicle registration code used on license plates for the Austrian district of Mödling.
  • D. MD
    MD is the official two-letter United States Postal Service abbreviation used to designate the state of Maryland.
  • E. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24c69ac81908b4da53d13407ac8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7d7ff0c8190b8c9cf063532cdf2 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:30 a.m.