Triple

T16390432
Position Surface form Disambiguated ID Type / Status
Subject Toyota Industries Corporation E398035 entity
Predicate brand P1500 FINISHED
Object Aichi E199464 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: Aichi | Statement: [Toyota Industries Corporation, brand, Aichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aichi
Context triple: [Toyota Industries Corporation, brand, Aichi]
  • A. Gifu
    Gifu is a city in central Japan that serves as the capital of Gifu Prefecture, known for its historic cormorant fishing on the Nagara River and its strategic location in the Chūbu region.
  • B. Aichi Prefecture chosen
    Aichi Prefecture is a central Japanese prefecture on Honshu known for its capital Nagoya, major automotive industry centered around Toyota, and role as a key economic and transportation hub.
  • C. Setouchi
    Setouchi is a coastal town on Japan’s Amami Ōshima known for its subtropical climate, scenic bays, and traditional island culture.
  • D. Japo
    Japo is a small settlement located on Arno Atoll in the Marshall Islands.
  • E. Nanyō
    Nanyō is a city in Yamagata Prefecture, Japan, known for its hot springs, cherry orchards, and traditional festivals.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326425c8081908cacffcfa8c7386b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.