Triple

T15680492
Position Surface form Disambiguated ID Type / Status
Subject Higher Institute of Business Administration E377559 entity
Predicate abbreviation P43 FINISHED
Object HIBA
HIBA is a higher education institution specializing in business administration and management studies.
 E1171434 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: HIBA | Statement: [Higher Institute of Business Administration, abbreviation, HIBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HIBA
Context triple: [Higher Institute of Business Administration, abbreviation, HIBA]
  • A. BIHA
    BIHA is the national governing body responsible for overseeing and organizing ice hockey activities in Belarus.
  • B. DIBA
    DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
  • C. HBI
    HBI is a nonprofit organization dedicated to preserving and revitalizing historic buildings and neighborhoods in Boston.
  • D. HBI
    HBI is the stock ticker symbol for Hanesbrands Inc., an American apparel company best known for its Hanes and Champion clothing brands.
  • E. IHA
    IHA is the commonly used abbreviation for Japan’s Imperial Household Agency, the government body responsible for matters concerning the Imperial Family.
  • 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: HIBA
Triple: [Higher Institute of Business Administration, abbreviation, HIBA]
Generated description
HIBA is a higher education institution specializing in business administration and management studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HIBA
Target entity description: HIBA is a higher education institution specializing in business administration and management studies.
  • A. BIHA
    BIHA is the national governing body responsible for overseeing and organizing ice hockey activities in Belarus.
  • B. DIBA
    DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
  • C. HBI
    HBI is a nonprofit organization dedicated to preserving and revitalizing historic buildings and neighborhoods in Boston.
  • D. HBI
    HBI is the stock ticker symbol for Hanesbrands Inc., an American apparel company best known for its Hanes and Champion clothing brands.
  • E. IHA
    IHA is the commonly used abbreviation for Japan’s Imperial Household Agency, the government body responsible for matters concerning the Imperial Family.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee2a33c81908fcd120ca670b309 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:16 a.m.