Triple

T3781700
Position Surface form Disambiguated ID Type / Status
Subject Jiko – The Cooking Place E85432 entity
Predicate name P16 FINISHED
Object Jiko – The Cooking Place E85432 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: Jiko – The Cooking Place | Statement: [Jiko – The Cooking Place, name, Jiko – The Cooking Place]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiko – The Cooking Place
Context triple: [Jiko – The Cooking Place, name, Jiko – The Cooking Place]
  • A. Jiko – The Cooking Place chosen
    Jiko – The Cooking Place is an upscale, African-inspired signature restaurant at Walt Disney World known for its wood-fired cuisine and extensive South African wine list.
  • B. Ma Kai
    Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
  • C. Tokyo Chiken
    Tokyo Chiken is the commonly used abbreviated name for the Tokyo District Public Prosecutors Office, a key prosecutorial authority in Japan’s capital.
  • D. Teppan Edo
    Teppan Edo is a teppanyaki-style Japanese restaurant located in the Japan Pavilion at EPCOT in Walt Disney World Resort.
  • E. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3d98b38819094df9569b549124f completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04353a881908e612a10572eb8c5 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:13 p.m.