Triple

T3356312
Position Surface form Disambiguated ID Type / Status
Subject Constitutional Court of Hungary E70612 entity
Predicate abbreviation P43 FINISHED
Object AB
AB is the commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
 E350830 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: AB | Statement: [Constitutional Court of Hungary, abbreviation, AB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AB
Context triple: [Constitutional Court of Hungary, abbreviation, AB]
  • A. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • B. AB
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • C. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • D. BA
    BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
  • E. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • 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: AB
Triple: [Constitutional Court of Hungary, abbreviation, AB]
Generated description
AB is the commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AB
Target entity description: AB is the commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
  • A. AB
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • B. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • C. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • D. BA
    BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
  • E. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb242d4988190bbac993df587936d completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253b03e8819082a5bf5bd5c5d5cb completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b325ffdef081909b9665468f305336 completed March 12, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69b32714d57c8190a59619dfab19656f completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:13 p.m.