Triple

T4093818
Position Surface form Disambiguated ID Type / Status
Subject Certified Analytics Professional E87765 entity
Predicate hasAbbreviation P43 FINISHED
Object CAP
CAP is a professional certification that validates an individual's expertise in applying analytics to solve real-world business problems.
 E412982 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: CAP | Statement: [Certified Analytics Professional, hasAbbreviation, CAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAP
Context triple: [Certified Analytics Professional, hasAbbreviation, CAP]
  • A. CAP
    CAP is the European Union’s Common Agricultural Policy, a framework of subsidies and programs designed to support farmers, ensure food security, and manage rural development across member states.
  • B. Cap
    Cap is the standard three-letter astronomical abbreviation used to denote the zodiac constellation Capricornus.
  • C. Caps
    Caps is the common nickname for the Washington Capitals, a professional ice hockey team based in Washington, D.C., that competes in the NHL.
  • D. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • E. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • 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: CAP
Triple: [Certified Analytics Professional, hasAbbreviation, CAP]
Generated description
CAP is a professional certification that validates an individual's expertise in applying analytics to solve real-world business problems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAP
Target entity description: CAP is a professional certification that validates an individual's expertise in applying analytics to solve real-world business problems.
  • A. CAP
    CAP is the European Union’s Common Agricultural Policy, a framework of subsidies and programs designed to support farmers, ensure food security, and manage rural development across member states.
  • B. Cap
    Cap is the standard three-letter astronomical abbreviation used to denote the zodiac constellation Capricornus.
  • C. Caps
    Caps is the common nickname for the Washington Capitals, a professional ice hockey team based in Washington, D.C., that competes in the NHL.
  • D. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • E. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcda2f408190bcf2b64535193162 completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6cfb288190ac08c3a37327ac9a completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56cd11b5c8190b7e7c9c91b6564b6 completed March 14, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69b56d3ff45881909f8b2c21ce51e0f0 completed March 14, 2026, 2:14 p.m.
Created at: March 9, 2026, 3:40 p.m.