Triple

T1724083
Position Surface form Disambiguated ID Type / Status
Subject Mie Prefecture E37456 entity
Predicate hasTraditionalFood P1016 FINISHED
Object Matsusaka beef E181523 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: Matsusaka beef | Statement: [Mie Prefecture, hasTraditionalFood, Matsusaka beef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsusaka beef
Context triple: [Mie Prefecture, hasTraditionalFood, Matsusaka beef]
  • A. Matsusaka beef chosen
    Matsusaka beef is a highly prized, richly marbled wagyu beef from Japan, renowned as one of the country's most luxurious and tender varieties of beef.
  • B. Kobe beef
    Kobe beef is a highly prized, richly marbled wagyu beef from Japan renowned for its exceptional tenderness and flavor.
  • C. Tekone-zushi
    Tekone-zushi is a regional Japanese dish of marinated raw fish mixed with vinegared rice, traditionally associated with fishermen’s cuisine in Mie Prefecture.
  • D. Shiso
    Shiso is a small inland city in Japan’s Hyogo Prefecture known for its mountainous scenery, forests, and outdoor recreation.
  • E. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635a5c8c8190b3fbf977a93838fd completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aefefc881908acd48eebc67c6ec completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.