Triple

T10932112
Position Surface form Disambiguated ID Type / Status
Subject Izu Peninsula E258232 entity
Predicate hasCity P316 FINISHED
Object Atami E346897 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: Atami | Statement: [Izu Peninsula, hasCity, Atami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atami
Context triple: [Izu Peninsula, hasCity, Atami]
  • A. Atami chosen
    Atami is a coastal hot spring resort city in Shizuoka Prefecture, Japan, known for its onsen, beaches, and proximity to Tokyo.
  • B. Hayama
    Hayama is a coastal town in Kanagawa Prefecture, Japan, known for its beaches, scenic views of Sagami Bay, and as a site of an Imperial Villa.
  • C. Shirahama
    Shirahama is a popular coastal resort town in Japan known for its white sand beaches, hot springs, and scenic seaside landscapes.
  • D. Shimoda
    Shimoda is a coastal city on Japan’s Izu Peninsula historically significant as one of the first ports opened to the United States in the mid-19th century.
  • E. Miyakonojō
    Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ce8f988190b503af0cd5f2a97e completed May 9, 2026, 9:43 a.m.
Created at: April 8, 2026, 9:23 p.m.