Triple

T17022567
Position Surface form Disambiguated ID Type / Status
Subject Certified Analytics Professional E412982 entity
Predicate abbreviation P43 FINISHED
Object CAP E412982 NE FINISHED

How this triple was built (2 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, abbreviation, CAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAP
Context triple: [Certified Analytics Professional, abbreviation, CAP]
  • A. CAP chosen
    CAP is a professional certification that validates an individual's expertise in applying analytics to solve real-world business problems.
  • B. CAP
    CAP is the stock ticker symbol for Capgemini, a global consulting, technology services, and digital transformation company listed on the Euronext Paris exchange.
  • C. CAP
    CAP (Common Alerting Protocol) is an international XML-based data format used for exchanging public warnings and emergency alerts across different systems and networks.
  • D. CAP
    CAP is the commonly used abbreviation for the Civil Air Patrol, the civilian auxiliary of the United States Air Force focused on emergency services, aerospace education, and cadet programs.
  • E. CAP
    CAP is the Canadian Association of Physicists, a national organization that promotes the advancement and dissemination of physics in Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d1d2e48190bbcba129247c6c2e completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4f9dfc819085639edb5cda1cca completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.