Triple

T10093506
Position Surface form Disambiguated ID Type / Status
Subject University of Miskolc E215802 entity
Predicate hasAbbreviation P43 FINISHED
Object ME
ME is the commonly used abbreviation for the University of Miskolc, a higher education institution in Miskolc, Hungary.
 E841877 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: ME | Statement: [University of Miskolc, hasAbbreviation, ME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME
Context triple: [University of Miskolc, hasAbbreviation, ME]
  • A. ME
    ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
  • B. ME
    ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
  • C. Me
    "Me" is an EP by musician James McCartney, showcasing his melodic songwriting and alternative rock/pop style.
  • D. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • E. MER
    MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
  • 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: ME
Triple: [University of Miskolc, hasAbbreviation, ME]
Generated description
ME is the commonly used abbreviation for the University of Miskolc, a higher education institution in Miskolc, Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME
Target entity description: ME is the commonly used abbreviation for the University of Miskolc, a higher education institution in Miskolc, Hungary.
  • A. ME
    ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
  • B. ME
    ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
  • C. Me
    "Me" is an EP by musician James McCartney, showcasing his melodic songwriting and alternative rock/pop style.
  • D. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • E. MER
    MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05da3688190b7a1ac8a58e5488f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbe40d088190838819eac97c61e4 completed April 5, 2026, 8:53 p.m.
NEDg Description generation batch_69d2cd8d611c81909085b3290eb54d16 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce686da48190b32a2053b94f1d48 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:01 p.m.