Triple

T12835309
Position Surface form Disambiguated ID Type / Status
Subject Boki E306894 entity
Predicate hasAgriculturalProduct P2078 FINISHED
Object Cocoa
Cocoa is the dried and processed seed of the cacao tree, widely cultivated in tropical regions for use in chocolate, beverages, and various food products.
 E1005108 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: Cocoa | Statement: [Boki, hasAgriculturalProduct, Cocoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cocoa
Context triple: [Boki, hasAgriculturalProduct, Cocoa]
  • A. Cocoa
    Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
  • B. Mocha
    Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
  • C. Mocha
    Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
  • D. Chocina
    Chocina is a river in northern Poland that serves as a tributary of the Brda River.
  • E. Cochoqua
    The Cochoqua were a prominent Khoikhoi pastoralist group in the Cape region of South Africa, known for their power and involvement in early conflicts with Dutch colonists in the 17th century.
  • 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: Cocoa
Triple: [Boki, hasAgriculturalProduct, Cocoa]
Generated description
Cocoa is the dried and processed seed of the cacao tree, widely cultivated in tropical regions for use in chocolate, beverages, and various food products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cocoa
Target entity description: Cocoa is the dried and processed seed of the cacao tree, widely cultivated in tropical regions for use in chocolate, beverages, and various food products.
  • A. Cocoa
    Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces and other software on macOS.
  • B. Mocha
    Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
  • C. Mocha
    Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
  • D. Chocina
    Chocina is a river in northern Poland that serves as a tributary of the Brda River.
  • E. Cochoqua
    The Cochoqua were a prominent Khoikhoi pastoralist group in the Cape region of South Africa, known for their power and involvement in early conflicts with Dutch colonists in the 17th century.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb1c7248190bb6e644e041d192e completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edaa6288190a775f6e852fa941b completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f6900385548190befe667dc4e33af9 completed May 3, 2026, midnight
NED2 Entity disambiguation (via description) batch_69f690c0bd208190bd1f04a9640ad1ce completed May 3, 2026, 12:03 a.m.
Created at: April 9, 2026, 5:34 p.m.