Triple

T4883062
Position Surface form Disambiguated ID Type / Status
Subject Swedish School of Sport and Health Sciences E109375 entity
Predicate abbreviation P43 FINISHED
Object GIH
GIH is Sweden’s national university college dedicated to sports science, physical education, and health research and training.
 E477574 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: GIH | Statement: [Swedish School of Sport and Health Sciences, abbreviation, GIH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GIH
Context triple: [Swedish School of Sport and Health Sciences, abbreviation, GIH]
  • A. HIH
    HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
  • B. GIP
    GIP is the ISO 4217 currency code for the Gibraltar pound, the official currency of Gibraltar.
  • C. EGHI
    EGHI is the ICAO airport code for Southampton Airport in Hampshire, England.
  • D. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • E. GIN
    GIN is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Guinea.
  • 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: GIH
Triple: [Swedish School of Sport and Health Sciences, abbreviation, GIH]
Generated description
GIH is Sweden’s national university college dedicated to sports science, physical education, and health research and training.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GIH
Target entity description: GIH is Sweden’s national university college dedicated to sports science, physical education, and health research and training.
  • A. HIH
    HIH is an honorific abbreviation used to refer to a female member of an imperial family bearing the style "Her Imperial Highness."
  • B. GIP
    GIP is the ISO 4217 currency code for the Gibraltar pound, the official currency of Gibraltar.
  • C. EGHI
    EGHI is the ICAO airport code for Southampton Airport in Hampshire, England.
  • D. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • E. GIN
    GIN is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Guinea.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddfff0c81908fb148a6f6508334 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680bf12c8190a5da2c7f0088cec2 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6c25d3448190b2589959a2f221c8 completed March 21, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69be6cf6662c8190bc1b94766c5da1e9 completed March 21, 2026, 10:03 a.m.
Created at: March 20, 2026, 1:27 p.m.