Triple

T27205378
Position Surface form Disambiguated ID Type / Status
Subject Coffee E683847 entity
Predicate decaffeinationMethod P72099 FINISHED
Object Swiss Water Process
The Swiss Water Process is a chemical-free method of decaffeinating coffee that uses water, temperature, and time to gently remove caffeine while preserving flavor.
 E1761024 NE FINISHED

How this triple was built (3 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: Swiss Water Process | Statement: [Coffee, decaffeinationMethod, Swiss Water Process]
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: Swiss Water Process
Triple: [Coffee, decaffeinationMethod, Swiss Water Process]
Generated description
The Swiss Water Process is a chemical-free method of decaffeinating coffee that uses water, temperature, and time to gently remove caffeine while preserving flavor.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: decaffeinationMethod
Context triple: [Coffee, decaffeinationMethod, Swiss Water Process]
  • A. coffeeProcessingMethods chosen
    Indicates the methods or techniques used to transform raw coffee cherries or beans into a consumable coffee product.
  • B. hasCaffeineContent
    Indicates that one entity (typically a beverage or substance) possesses a specified amount or presence of caffeine.
  • C. brewingMethod
    Indicates the technique or process used to brew or prepare a beverage, typically coffee or tea.
  • D. coffeeVariety
    Indicates a relationship where a specific type or variety of coffee is associated with a coffee-related entity (such as a product, beverage, or plant).
  • E. brewedAccordingTo
    Indicates that something has been produced or prepared following a specified brewing method, recipe, or standard.
  • F. None of above.

Provenance (6 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_69eefad339a08190aeacb2a198f1a39b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f625e4327c8190aa93bdd93a046277 completed May 2, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12539f174c8190ad9268ebe931f20b completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a1254e819d48190bfabeb72a073bac3 completed May 24, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12562f28108190bcba456c7c6b2429 completed May 24, 2026, 1:36 a.m.
PD Predicate disambiguation batch_69f623a91b9c8190b2e2fdbc55cb89b6 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 9:37 a.m.