Triple

T9015857
Position Surface form Disambiguated ID Type / Status
Subject Orfalea College of Business E215591 entity
Predicate shortName P43 FINISHED
Object OCOB
OCOB is the abbreviated name for the Orfalea College of Business, the business school at California Polytechnic State University in San Luis Obispo.
 E773074 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: OCOB | Statement: [Orfalea College of Business, shortName, OCOB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OCOB
Context triple: [Orfalea College of Business, shortName, OCOB]
  • A. OCB
    OCB is the U.S. government–funded media organization that oversees broadcasts such as Radio and TV Martí aimed at audiences in Cuba.
  • B. OBBI
    OBBI is the ICAO airport code for Bahrain International Airport, the main international gateway to the Kingdom of Bahrain.
  • C. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • D. OB
    OB is an abbreviation used to denote membership in the Order of the Bath, a British order of chivalry.
  • E. OCCB
    OCCB is the New York City Police Department’s specialized bureau responsible for investigating and combating organized crime.
  • 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: OCOB
Triple: [Orfalea College of Business, shortName, OCOB]
Generated description
OCOB is the abbreviated name for the Orfalea College of Business, the business school at California Polytechnic State University in San Luis Obispo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OCOB
Target entity description: OCOB is the abbreviated name for the Orfalea College of Business, the business school at California Polytechnic State University in San Luis Obispo.
  • A. OCB
    OCB is the U.S. government–funded media organization that oversees broadcasts such as Radio and TV Martí aimed at audiences in Cuba.
  • B. OBBI
    OBBI is the ICAO airport code for Bahrain International Airport, the main international gateway to the Kingdom of Bahrain.
  • C. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • D. OB
    OB is an abbreviation used to denote membership in the Order of the Bath, a British order of chivalry.
  • E. OCCB
    OCCB is the New York City Police Department’s specialized bureau responsible for investigating and combating organized crime.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fc0e4c819080b60456375f94cd completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba8bd8c81909860d561d9d16611 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdcae0e5c81909c50a0b53c1cf7cc completed April 3, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd6a2ba481908d66fed8f05a1297 completed April 3, 2026, 3:31 p.m.
Created at: March 30, 2026, 7:06 p.m.