Triple

T20658107
Position Surface form Disambiguated ID Type / Status
Subject Japanese archipelago maritime area E507679 entity
Predicate hasPart P35 FINISHED
Object Kii Channel 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: Kii Channel | Statement: [Japanese archipelago maritime area, hasPart, Kii Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kii Channel
Context triple: [Japanese archipelago maritime area, hasPart, Kii Channel]
  • A. Kii Channel chosen
    The Kii Channel is a strait in western Japan that separates the islands of Honshu and Shikoku and links the Seto Inland Sea with the Pacific Ocean.
  • B. CloudKit
    CloudKit is Apple’s cloud storage and data synchronization framework that enables developers to seamlessly store, manage, and sync app data across users’ iCloud accounts and devices.
  • C. Xumo
    Xumo is a free, ad-supported streaming television service offering a variety of live and on-demand channels and content.
  • D. Tuuvi
    Tuuvi is an alternative name historically associated with Tuba City, a community on the Navajo Nation in northern Arizona.
  • E. Ximian
    Ximian was a software company best known for developing and supporting GNOME-based desktop and productivity applications for Linux and Unix systems.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eefd5c8190a71d4be690a6ae0e completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.