Triple

T4424913
Position Surface form Disambiguated ID Type / Status
Subject Perl E95185 entity
Predicate influenced P9 FINISHED
Object Raku E437216 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: Raku | Statement: [Perl, influenced, Raku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raku
Context triple: [Perl, influenced, Raku]
  • A. Raku chosen
    Raku is a multi-paradigm, gradually typed programming language that evolved from the Perl community with a focus on expressiveness, concurrency, and powerful language features.
  • B. Kutani ware ceramics
    Kutani ware ceramics are a traditional style of Japanese porcelain renowned for their vivid overglaze enamels and intricate, colorful designs that originated in the Edo period.
  • C. Imari
    Imari is a Japanese city in Saga Prefecture renowned for its historic porcelain and pottery production, especially Imari ware.
  • D. Seimon Tetsubashi
    Seimon Tetsubashi is a historic stone bridge at the main gate of Tokyo’s Imperial Palace, forming part of the iconic Nijūbashi bridge ensemble.
  • E. Funaki
    Funaki is a Japanese surname most notably associated with Olympic gold medal-winning ski jumper Kazuyoshi Funaki.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554ca5208190ba2661616dcf071c completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613683d4c8190b04f14c7a74b619a completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.