Triple

T1858002
Position Surface form Disambiguated ID Type / Status
Subject Common Agricultural Policy E41749 entity
Predicate alsoKnownAs P39 FINISHED
Object 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.
 E208804 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: [Common Agricultural Policy, alsoKnownAs, CAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAP
Context triple: [Common Agricultural Policy, alsoKnownAs, CAP]
  • A. 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.
  • B. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • C. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • D. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • E. CAC
    CAC is the commonly used abbreviation for the U.S. Army Combined Arms Center, a key institution responsible for developing Army doctrine, training, and leader education.
  • 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: [Common Agricultural Policy, alsoKnownAs, CAP]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAP
Target entity description: 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.
  • A. 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.
  • B. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • C. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • D. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • E. CAC
    CAC is the commonly used abbreviation for the U.S. Army Combined Arms Center, a key institution responsible for developing Army doctrine, training, and leader education.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb081405881909e4bea94b9813a4b completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1ce296c819093336cbaa257dfd2 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add229de448190826bbb668c7611a0 completed March 8, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69add29e3c50819098ff87d254c25c45 completed March 8, 2026, 7:48 p.m.
Created at: March 4, 2026, 7:33 p.m.