Triple

T405675
Position Surface form Disambiguated ID Type / Status
Subject Takatsuki E9377 entity
Predicate hasRiver P165 FINISHED
Object Yodo River E40816 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: Yodo River | Statement: [Takatsuki, hasRiver, Yodo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yodo River
Context triple: [Takatsuki, hasRiver, Yodo River]
  • A. Yodo River chosen
    The Yodo River is a major waterway in Japan’s Kansai region that flows through Kyoto and Osaka, historically serving as an important route for transport, trade, and urban development.
  • B. Rioni River
    The Rioni River is a major waterway in western Georgia that flows from the Caucasus Mountains to the Black Sea, historically serving as an important trade and cultural route.
  • C. Tone River
    Tone River is one of Japan’s largest and most important rivers, flowing through the Kanto region of Honshu and playing a key role in irrigation, flood control, and water supply.
  • D. Kiso River
    The Kiso River is a major river in central Japan known for flowing through the Kiso Valley and contributing to the Nōbi Plain’s fertile landscape.
  • E. Kamo River
    The Kamo River is a prominent river running through Kyoto, Japan, known for its scenic banks, seasonal cherry blossoms, and role as a central gathering place for locals and visitors.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecbc00508190bbb602179273f29c completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a48e53081908e5d5e093edb5e75 completed March 3, 2026, 2:41 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.