Triple

T11987790
Position Surface form Disambiguated ID Type / Status
Subject Imperial Japanese Navy light cruiser Naka E285325 entity
Predicate namedAfter P63 FINISHED
Object Naka River E285325 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: Naka River | Statement: [Imperial Japanese Navy light cruiser Naka, namedAfter, Naka River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naka River
Context triple: [Imperial Japanese Navy light cruiser Naka, namedAfter, Naka River]
  • A. Naka River chosen
    Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
  • B. Takahashi River
    The Takahashi River is a major river in Okayama Prefecture, Japan, flowing through cities such as Kurashiki before emptying into the Seto Inland Sea.
  • C. Honami River
    Honami River is a local waterway flowing through Iizuka in Fukuoka Prefecture, Japan, contributing to the area's landscape and drainage system.
  • D. Waki River
    The Waki River is a significant waterway in the Guiana region that serves as an important tributary within the Maroni River basin.
  • E. Nakatsu River
    The Nakatsu River is a river in Japan that flows through the city of Morioka in Iwate Prefecture, contributing to the region’s natural landscape and waterways.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bab66488190a465e40f1181506e completed May 8, 2026, 3:42 a.m.
Created at: April 8, 2026, 9:46 p.m.