Triple

T21482410
Position Surface form Disambiguated ID Type / Status
Subject Ōdate E530026 entity
Predicate isAssociatedWith P2830 FINISHED
Object Akita dog 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: Akita dog | Statement: [Ōdate, isAssociatedWith, Akita dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akita dog
Context triple: [Ōdate, isAssociatedWith, Akita dog]
  • A. Akita
    Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
  • B. Akita chosen
    Akita is a large, powerful Japanese dog breed known for its loyalty, dignity, and strong protective instincts.
  • C. Husky
    The Husky is a hardy, thick-coated working dog breed originally developed in Arctic regions for pulling sleds and enduring extreme cold.
  • D. Husky
    Husky was the codename for the World War II Allied amphibious and airborne invasion of Sicily in July 1943, which marked a major step in the campaign to liberate Europe from Axis control.
  • E. Lohsa
    Lohsa is a municipality in eastern Saxony, Germany, known for its lakes and forests within the Lusatian region.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea34c4388190adc78d209d2aafb8 completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.