Triple

T8771605
Position Surface form Disambiguated ID Type / Status
Subject Tiraspol E208474 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: [Tiraspol, vehicleRegistrationCode, MD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MD
Context triple: [Tiraspol, 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. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • E. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2c54c08190a904723d1f0527a4 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51b7d05c8190b84e02a8796d3422 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.