Triple

T9165563
Position Surface form Disambiguated ID Type / Status
Subject Hakata Bay E219945 entity
Predicate hasRiverMouth P4359 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: [Hakata Bay, hasRiverMouth, Naka River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naka River
Context triple: [Hakata Bay, hasRiverMouth, 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa3055048190870211449c78fc4e completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20c9b4c3c8190bfe58a75e93b20b8 completed April 5, 2026, 7:17 a.m.
Created at: March 30, 2026, 7:22 p.m.