Triple

T15754519
Position Surface form Disambiguated ID Type / Status
Subject Toyama Grouses E381933 entity
Predicate homeCity P263 FINISHED
Object Toyama NE NERFINISHED

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: Toyama | Statement: [Toyama Grouses, homeCity, Toyama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyama
Context triple: [Toyama Grouses, homeCity, Toyama]
  • A. Toyama chosen
    Toyama is a coastal city in central Japan known as the capital of Toyama Prefecture, serving as a regional industrial and transportation hub on the Sea of Japan.
  • B. Tokorozawa
    Tokorozawa is a commuter city in the Greater Tokyo area of Japan, known for its residential neighborhoods, aviation history, and role as a transport hub in southern Saitama.
  • C. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • D. Oita
    Ōita is a coastal city on Japan’s Kyushu island known for its hot springs, regional cuisine, and role as the capital of Ōita Prefecture.
  • E. Niigata
    Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
Created at: April 10, 2026, 4:47 a.m.