Triple

T6393746
Position Surface form Disambiguated ID Type / Status
Subject Norwegian School of Economics E143890 entity
Predicate abbreviation P43 FINISHED
Object NHH
NHH is a leading Norwegian business school in Bergen renowned for its economics and business administration education and research.
 E590878 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: NHH | Statement: [Norwegian School of Economics, abbreviation, NHH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NHH
Context triple: [Norwegian School of Economics, abbreviation, NHH]
  • A. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • B. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • C. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • D. NNHS
    NNHS is a large public high school located in Newton, Massachusetts, known for its strong academics, diverse student body, and extensive extracurricular programs.
  • E. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • 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: NHH
Triple: [Norwegian School of Economics, abbreviation, NHH]
Generated description
NHH is a leading Norwegian business school in Bergen renowned for its economics and business administration education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NHH
Target entity description: NHH is a leading Norwegian business school in Bergen renowned for its economics and business administration education and research.
  • A. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • B. NH
    NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
  • C. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • D. NNHS
    NNHS is a large public high school located in Newton, Massachusetts, known for its strong academics, diverse student body, and extensive extracurricular programs.
  • E. HN
    HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06881313481908e9082ffe57f29b6 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c5d5e2881908a27021616c69b97 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cb876788190a26ae84c2c69df95 completed March 27, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:34 p.m.