Triple

T17377213
Position Surface form Disambiguated ID Type / Status
Subject International Baccalaureate Career-related Programme E422470 entity
Predicate abbreviation P43 FINISHED
Object IBCP
IBCP is an International Baccalaureate programme that combines academic study with career-related learning to prepare students for further education, apprenticeships, or employment.
 E1266344 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: IBCP | Statement: [International Baccalaureate Career-related Programme, abbreviation, IBCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IBCP
Context triple: [International Baccalaureate Career-related Programme, abbreviation, IBCP]
  • A. IB
    IB is the IATA airline designator for Iberia, the flag carrier airline of Spain.
  • B. IB
    IB is the vehicle registration code used on license plates for the Spanish Balearic Islands, including Formentera.
  • C. IB
    IB is a high-speed, low-latency computer networking and interconnect technology widely used in supercomputing and data centers.
  • D. IPEC
    IPEC is the U.S. government’s chief coordinator for developing and overseeing national policies and strategies to protect and enforce intellectual property rights.
  • E. IBED
    IBED is a research institute focused on studying biodiversity, ecosystem processes, and environmental change.
  • 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: IBCP
Triple: [International Baccalaureate Career-related Programme, abbreviation, IBCP]
Generated description
IBCP is an International Baccalaureate programme that combines academic study with career-related learning to prepare students for further education, apprenticeships, or employment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IBCP
Target entity description: IBCP is an International Baccalaureate programme that combines academic study with career-related learning to prepare students for further education, apprenticeships, or employment.
  • A. IB
    IB is the IATA airline designator for Iberia, the flag carrier airline of Spain.
  • B. IB
    IB is the vehicle registration code used on license plates for the Spanish Balearic Islands, including Formentera.
  • C. IB
    IB is a high-speed, low-latency computer networking and interconnect technology widely used in supercomputing and data centers.
  • D. IPEC
    IPEC is the U.S. government’s chief coordinator for developing and overseeing national policies and strategies to protect and enforce intellectual property rights.
  • E. IBED
    IBED is a research institute focused on studying biodiversity, ecosystem processes, and environmental change.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6ea56c8190b56d966ccf2c91f7 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019ff344a881908f0870ac7ce8e120 completed May 11, 2026, 9:22 a.m.
NEDg Description generation batch_6a01a089ac0081908a746c0c25cc12be completed May 11, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_6a01a1c415dc8190ba8f7e2a8053917f completed May 11, 2026, 9:30 a.m.
Created at: April 10, 2026, 5:45 a.m.