Triple

T26134424
Position Surface form Disambiguated ID Type / Status
Subject Yebisu The Hop E659336 entity
Predicate usesHopCharacter P159980 FINISHED
Object emphasis on hop aroma and flavor LITERAL FINISHED

How this triple was built (2 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: emphasis on hop aroma and flavor | Statement: [Yebisu The Hop, usesHopCharacter, emphasis on hop aroma and flavor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesHopCharacter
Context triple: [Yebisu The Hop, usesHopCharacter, emphasis on hop aroma and flavor]
  • A. usesCharacter
    Indicates that one entity employs, incorporates, or relies on a particular character (such as a symbol, letter, or persona) in its form, function, or representation.
  • B. usesCharactersAs
    Indicates that one entity employs or incorporates specific characters (such as letters, symbols, or glyphs) from another entity for its representation or functioning.
  • C. usesMove
    Indicates that an entity performs or executes a specific move or action.
  • D. appliesToCharacter
    Indicates that an action, rule, or property is specifically directed toward or relevant for a particular character.
  • E. temptsCharacter
    Indicates that one character attempts to lure, entice, or persuade another character toward a particular action, choice, or desire, often involving moral or personal conflict.
  • F. None of above. chosen

Provenance (4 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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60b96085c81908a43574f4e07e70d completed May 2, 2026, 2:35 p.m.
PD Predicate disambiguation batch_69f5b0021da88190bdd4cf2698c23edf completed May 2, 2026, 8:04 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 26, 2026, 8:16 p.m.