Triple

T9955702
Position Surface form Disambiguated ID Type / Status
Subject Hungarian People’s Army E195441 entity
Predicate abbreviation P43 FINISHED
Object MN
MN was the official abbreviation for the Hungarian People’s Army, the armed forces of the Hungarian People's Republic during the socialist era.
 E831863 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: MN | Statement: [Hungarian People’s Army, abbreviation, MN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MN
Context triple: [Hungarian People’s Army, abbreviation, MN]
  • A. MN
    MN is the vehicle registration code used on license plates for vehicles registered in Douglas and the rest of the Isle of Man.
  • B. NM
    NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • C. Minnesota
    Minnesota is an American hip hop record producer known for his work with prominent rap artists in the 1990s and 2000s.
  • D. Minnesota
    Minnesota is an American electronic music producer and DJ known for his melodic, bass-heavy dubstep and festival performances.
  • E. Minnesota
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • 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: MN
Triple: [Hungarian People’s Army, abbreviation, MN]
Generated description
MN was the official abbreviation for the Hungarian People’s Army, the armed forces of the Hungarian People's Republic during the socialist era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MN
Target entity description: MN was the official abbreviation for the Hungarian People’s Army, the armed forces of the Hungarian People's Republic during the socialist era.
  • A. MN
    MN is the vehicle registration code used on license plates for vehicles registered in Douglas and the rest of the Isle of Man.
  • B. NM
    NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • C. Minnesota
    Minnesota is an American hip hop record producer known for his work with prominent rap artists in the 1990s and 2000s.
  • D. Minnesota
    Minnesota is an American electronic music producer and DJ known for his melodic, bass-heavy dubstep and festival performances.
  • E. Minnesota
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb69631d08190ab2b1d1c22d46da7 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d71342081908084c27790ef4fcc completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23fb02c6081909f2c99ca21c90822 completed April 5, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69d24047ae4081909678ca9cf6cfbfff completed April 5, 2026, 10:58 a.m.
Created at: March 30, 2026, 8:46 p.m.