Triple

T5658106
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Academy of Music E124668 entity
Predicate abbreviation P43 FINISHED
Object NMH
NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
 E537789 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: NMH | Statement: [Norwegian Academy of Music, abbreviation, NMH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NMH
Context triple: [Norwegian Academy of Music, abbreviation, NMH]
  • A. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • B. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • C. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • D. Nmnl
    Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
  • E. NNHS
    NNHS is a large public high school located in Newton, Massachusetts, known for its strong academics, diverse student body, and extensive extracurricular programs.
  • 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: NMH
Triple: [Norwegian Academy of Music, abbreviation, NMH]
Generated description
NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NMH
Target entity description: NMH is the commonly used abbreviation for the Norwegian Academy of Music, a leading institution for higher music education and research in Norway.
  • A. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • B. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • C. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • D. Nmnl
    Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
  • E. NNHS
    NNHS is a large public high school located in Newton, Massachusetts, known for its strong academics, diverse student body, and extensive extracurricular programs.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022fd9b148190bd4aa9c43500949f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04da37ffc819095f33e7e66e7c1d0 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edf30448190a60eda49b8b031a0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb62690819083327781cb857ccc completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:42 p.m.