Triple

T17460037
Position Surface form Disambiguated ID Type / Status
Subject Iruma, Saitama, Japan E425127 entity
Predicate hasAgriculturalProduct P2078 FINISHED
Object Sayama tea NE NERFINISHED

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: Sayama tea | Statement: [Iruma, Saitama, Japan, hasAgriculturalProduct, Sayama tea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayama tea
Context triple: [Iruma, Saitama, Japan, hasAgriculturalProduct, Sayama tea]
  • A. Sayama tea chosen
    Sayama tea is a high-quality Japanese green tea from the Sayama region of Saitama Prefecture, renowned for its rich flavor and thick, full-bodied leaves.
  • B. Sencha
    Sencha is a software company best known for its JavaScript frameworks and tools for building cross-platform web and mobile applications.
  • C. Green Tea
    "Green Tea" is a gothic short story by Sheridan Le Fanu that follows a clergyman haunted by a demonic monkey, exploring themes of madness, the supernatural, and psychological terror.
  • D. Ming Tea
    Ming Tea is a fictional 1960s-style rock band fronted by Mike Myers that appears in the Austin Powers film series, including "Austin Powers in Goldmember."
  • E. Meiji Jiao
    Meiji Jiao is a disputed reef in the South China Sea, part of the Spratly Islands, known for extensive land reclamation and military construction.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a3031c8190ab1dd0d41b002dd2 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.