Triple

T7293118
Position Surface form Disambiguated ID Type / Status
Subject Mödling E164446 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MD
MD is the vehicle registration code used on license plates for the Austrian district of Mödling.
 E656036 NE FINISHED

How this triple was built (4 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: [Mödling, vehicleRegistrationCode, MD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MD
Context triple: [Mödling, 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. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • D. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • E. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MD
Triple: [Mödling, vehicleRegistrationCode, MD]
Generated description
MD is the vehicle registration code used on license plates for the Austrian district of Mödling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MD
Target entity description: MD is the vehicle registration code used on license plates for the Austrian district of Mödling.
  • 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. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • D. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • E. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • F. None of above. chosen

Provenance (5 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6fc5788190b1b339d051f93c22 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e53faa0481909758a7366cbbe99f completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e68e8cc08190b21a9d095bb96394 completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e76f3cd88190957e096c81e6e803 completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3 p.m.