Triple

T6201080
Position Surface form Disambiguated ID Type / Status
Subject College of Business E138630 entity
Predicate acronym P43 FINISHED
Object COB (context-dependent, informal)
COB is an informal, context-dependent acronym commonly used to refer to a College of Business.
 E575868 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: COB (context-dependent, informal) | Statement: [College of Business, acronym, COB (context-dependent, informal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: COB (context-dependent, informal)
Context triple: [College of Business, acronym, COB (context-dependent, informal)]
  • A. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • B. COK
    COK is the abbreviation commonly used for the National Olympic Committee of Montenegro, the body responsible for organizing the country’s participation in the Olympic Games.
  • C. BRCOB
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • D. CB
    CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
  • E. CB
    CB is a UK postcode area covering Cambridge and surrounding parts of Cambridgeshire and nearby regions.
  • 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: COB (context-dependent, informal)
Triple: [College of Business, acronym, COB (context-dependent, informal)]
Generated description
COB is an informal, context-dependent acronym commonly used to refer to a College of Business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: COB (context-dependent, informal)
Target entity description: COB is an informal, context-dependent acronym commonly used to refer to a College of Business.
  • A. COOB
    COOB is the namesake associated with Cobi, the official mascot of the 1992 Barcelona Olympic Games.
  • B. COK
    COK is the abbreviation commonly used for the National Olympic Committee of Montenegro, the body responsible for organizing the country’s participation in the Olympic Games.
  • C. BRCOB
    BRCOB is the UN/LOCODE identifying the Brazilian river port city of Corumbá, an important logistics hub near the Bolivia border.
  • D. CB
    CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
  • E. CB
    CB is the station code used to identify Coimbra-B railway station in Portugal’s rail network.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062559bcc81908942bb4d25fe8158 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f366cfc81909cca73677268821a completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1e375c5948190ad166089e866694a completed March 24, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_69c1e43fa8348190a2247996d88b5011 completed March 24, 2026, 1:09 a.m.
Created at: March 22, 2026, 4:20 p.m.