Triple
T20287568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakatsu River |
E509926
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Nakatsu River@en |
—
|
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: Nakatsu River@en | Statement: [Nakatsu River, hasNameInLanguage, Nakatsu River@en]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakatsu River@en Context triple: [Nakatsu River, hasNameInLanguage, Nakatsu River@en]
-
A.
Nakatsu River
chosen
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.
-
B.
Naka River
Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
-
C.
Naruse River
The Naruse River is a significant river in Japan’s Tōhoku region, flowing through Miyagi Prefecture and supporting local agriculture and communities along its course.
-
D.
Enokawa River
The Enokawa River is a river in western Japan that flows through Hiroshima Prefecture before joining the larger Ota River system.
-
E.
Takase River
The Takase River is a mountain river in Japan known for its clear waters, steep valleys, and role in regional hydroelectric power generation.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6769414488190b38e07fd1e989aba |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:08 a.m.