Triple

T19489220
Position Surface form Disambiguated ID Type / Status
Subject Haruna Fuji E487602 entity
Predicate hasAlternativeName P39 FINISHED
Object はるなふじ 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: はるなふじ | Statement: [Haruna Fuji, hasAlternativeName, はるなふじ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: はるなふじ
Context triple: [Haruna Fuji, hasAlternativeName, はるなふじ]
  • A. Haruna-Fuji chosen
    Haruna-Fuji is a scenic, Fuji-like volcanic peak in Japan’s Gunma Prefecture, known for its conical shape and picturesque views over Lake Haruna.
  • B. Fujiyoshida Himatsuri
    Fujiyoshida Himatsuri is a traditional fire festival in Fujiyoshida, Japan, held to symbolically close the climbing season of Mount Fuji with dramatic torchlit processions and burning shrines.
  • C. Takako Fuji
    Takako Fuji is a Japanese actress best known internationally for her iconic role as the vengeful ghost Kayako Saeki in the Ju-On/The Grudge horror film series.
  • D. Ezo Fuji
    Ezo Fuji is a stratovolcano in Hokkaido, Japan, renowned for its symmetrical, Mount Fuji-like shape.
  • E. Fukuhara
    Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348ad4088190b530f47efca90165 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.