Triple

T18221688
Position Surface form Disambiguated ID Type / Status
Subject Rack E436321 entity
Predicate usedBy P260 FINISHED
Object Hanami 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: Hanami | Statement: [Rack, usedBy, Hanami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanami
Context triple: [Rack, usedBy, Hanami]
  • A. Hanami chosen
    Hanami is a lightweight, modular Ruby web framework focused on simplicity, performance, and clear architecture for building web applications.
  • B. Nishikatsura
    Nishikatsura is a small town in Yamanashi Prefecture, Japan, known for its scenic views of Mount Fuji and traditional textile industry.
  • C. Kashiwa-no-ha
    Kashiwa-no-ha is a modern, planned district in Kashiwa, Chiba Prefecture, Japan, known for its smart-city initiatives, research institutions, and residential developments centered around Kashiwa-no-ha Campus Station.
  • D. Naishinnō
    Naishinnō is a Japanese imperial title historically granted to princesses of the blood, denoting their status as high-ranking members of the Imperial Family.
  • E. Enso
    Enso is the former Finnish name of the town now known as Svetogorsk, located near the Finnish-Russian border in present-day Russia.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47c85108190bd9707b40bdfdb38 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.