Triple

T14796184
Position Surface form Disambiguated ID Type / Status
Subject Sayama E347782 entity
Predicate hasProduct P3585 FINISHED
Object Sayama-cha E1121094 NE 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: Sayama-cha | Statement: [Sayama, hasProduct, Sayama-cha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayama-cha
Context triple: [Sayama, hasProduct, Sayama-cha]
  • 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. 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.
  • C. Sencha GXT
    Sencha GXT is a Java-based UI framework for building rich, high-performance web applications using GWT (Google Web Toolkit).
  • D. Sencha
    Sencha is a software company best known for its JavaScript frameworks and tools for building cross-platform web and mobile applications.
  • E. Ah-Leu-Cha
    "Ah-Leu-Cha" is a bebop jazz composition by Charlie Parker, known for its fast tempo, intricate melody, and status as a standard in the modern jazz repertoire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5fdd548190a2ee5e668c2b20b4 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389183a881908e6af44b71f81ace completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.