Triple

T9824735
Position Surface form Disambiguated ID Type / Status
Subject Maryland E238626 entity
Predicate postalAbbreviation P43 FINISHED
Object MD
MD is the official two-letter United States Postal Service abbreviation used to designate the state of Maryland.
 E822535 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: [Maryland, postalAbbreviation, MD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MD
Context triple: [Maryland, postalAbbreviation, 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
    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. 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: [Maryland, postalAbbreviation, MD]
Generated description
MD is the official two-letter United States Postal Service abbreviation used to designate the state of Maryland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MD
Target entity description: MD is the official two-letter United States Postal Service abbreviation used to designate the state of Maryland.
  • 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
    MD is the vehicle registration code used on license plates for the Austrian district of Mödling.
  • D. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • E. MA
    MA is the vehicle registration code used on license plates for the German city of Mannheim.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3181c688190afea3b27ee392a30 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc810bac8190a5ff94c0717e7706 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd5a04fc8190a78a1459b78962b1 completed April 5, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1cdca61d481909f3394bf593f0bfb completed April 5, 2026, 2:49 a.m.
Created at: March 30, 2026, 8:31 p.m.