Triple

T4308985
Position Surface form Disambiguated ID Type / Status
Subject International Baccalaureate Organization E94025 entity
Predicate programAbbreviation P43 FINISHED
Object CP
CP is the International Baccalaureate Career-related Programme, a two-year educational framework that combines academic study with career-focused learning for students aged 16–19.
 E428960 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: CP | Statement: [International Baccalaureate Organization, programAbbreviation, CP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CP
Context triple: [International Baccalaureate Organization, programAbbreviation, CP]
  • A. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • B. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • C. P$C
    P$C is a hip hop group closely linked to producer DJ Toomp and the Atlanta rap scene.
  • D. CAP
    CAP is a professional certification that validates an individual's expertise in applying analytics to solve real-world business problems.
  • E. 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.
  • 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: CP
Triple: [International Baccalaureate Organization, programAbbreviation, CP]
Generated description
CP is the International Baccalaureate Career-related Programme, a two-year educational framework that combines academic study with career-focused learning for students aged 16–19.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CP
Target entity description: CP is the International Baccalaureate Career-related Programme, a two-year educational framework that combines academic study with career-focused learning for students aged 16–19.
  • A. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • B. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • C. P$C
    P$C is a hip hop group closely linked to producer DJ Toomp and the Atlanta rap scene.
  • D. CAP
    CAP is a professional certification that validates an individual's expertise in applying analytics to solve real-world business problems.
  • E. 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.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d40748819084798058396be113 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c759b65081909b02db56febbc484 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7f462488190ab0848f82467cb91 completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c8a0c0bc8190beba56664874ed9b completed March 14, 2026, 8:44 p.m.
Created at: March 12, 2026, 11:11 p.m.