Triple

T2225233
Position Surface form Disambiguated ID Type / Status
Subject Institute for Business Innovation E48633 entity
Predicate shortName P43 FINISHED
Object IBI
IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
 E246067 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: IBI | Statement: [Institute for Business Innovation, shortName, IBI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IBI
Context triple: [Institute for Business Innovation, shortName, IBI]
  • A. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • B. IBA
    IBA is the International Bar Association, a leading global organization of legal professionals and bar associations that works to shape the future of the legal profession and uphold the rule of law worldwide.
  • C. IBX
    IBX is the ICAO airline designator used to identify Ibex Airlines in international aviation operations.
  • D. BI
    BI is the commonly used abbreviation for Bank Indonesia, the central bank of the Republic of Indonesia responsible for monetary policy and financial system stability.
  • E. IRI
    IRI (Industrial Research Institute) is a U.S.-based association of industrial and service companies focused on advancing innovation, research, and development management practices.
  • 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: IBI
Triple: [Institute for Business Innovation, shortName, IBI]
Generated description
IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IBI
Target entity description: IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • A. IBE
    IBE is the ICAO airline designator for Iberia, the flag carrier airline of Spain.
  • B. IBA
    IBA is the International Bar Association, a leading global organization of legal professionals and bar associations that works to shape the future of the legal profession and uphold the rule of law worldwide.
  • C. IBX
    IBX is the ICAO airline designator used to identify Ibex Airlines in international aviation operations.
  • D. BI
    BI is the commonly used abbreviation for Bank Indonesia, the central bank of the Republic of Indonesia responsible for monetary policy and financial system stability.
  • E. IRI
    IRI (Industrial Research Institute) is a U.S.-based association of industrial and service companies focused on advancing innovation, research, and development management practices.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03ffcbc8190a27e32af831c7be5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6565513081908b1117d16c375aec completed March 9, 2026, 6:15 a.m.
NEDg Description generation batch_69ae67387ce08190aca43fdf949e98b2 completed March 9, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae679aa46c8190a7431f661f65580b completed March 9, 2026, 6:24 a.m.
Created at: March 4, 2026, 7:47 p.m.