Triple

T18523553

Position	Surface form	Disambiguated ID	Type / Status
Subject	Karakawa River	`E452653`	entity
Predicate	hasNameInLanguage	`P15`	FINISHED
Object	唐川河川唐川河川 is the Japanese name for the Karakawa River, a local waterway in Japan.	`E1329291`	NE FINISHED

How this triple was built (4 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: 唐川河川 | Statement: [Karakawa River, hasNameInLanguage, 唐川河川]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: 唐川河川
Context triple: [Karakawa River, hasNameInLanguage, 唐川河川]

A. 天神川
天神川は兵庫県伊丹市を流れる中小河川で、市街地の治水や景観に寄与している川です。
B. 庄川
庄川は日本の中部地方を流れ、富山県の庄川峡などの景勝地や水力発電で知られる河川である。
C. 野川
野川は東京都多摩地域から世田谷区などを流れ、多摩川へと注ぐ都市近郊の中小河川です。
D. 保津川
保津川 is a scenic river in Kyoto Prefecture, Japan, famous for its traditional boat rides through the forested ravines between Kameoka and Arashiyama.
E. 野洲川
野洲川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its role in local agriculture and flood control.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: 唐川河川
Triple: [Karakawa River, hasNameInLanguage, 唐川河川]

Generated description

唐川河川 is the Japanese name for the Karakawa River, a local waterway in Japan.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: 唐川河川
Target entity description: 唐川河川 is the Japanese name for the Karakawa River, a local waterway in Japan.

A. 天神川
天神川は兵庫県伊丹市を流れる中小河川で、市街地の治水や景観に寄与している川です。
B. 庄川
庄川は日本の中部地方を流れ、富山県の庄川峡などの景勝地や水力発電で知られる河川である。
C. 野川
野川は東京都多摩地域から世田谷区などを流れ、多摩川へと注ぐ都市近郊の中小河川です。
D. 保津川
保津川 is a scenic river in Kyoto Prefecture, Japan, famous for its traditional boat rides through the forested ravines between Kameoka and Arashiyama.
E. 野洲川
野洲川 is a river in Shiga Prefecture, Japan, that flows into Lake Biwa and is known for its role in local agriculture and flood control.
F. None of above. chosen

Provenance (5 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_69d8d387b5548190aa030dad2cb4947e`	completed	April 10, 2026, 10:40 a.m.
NER	Named-entity recognition	`batch_69e5338f6da48190bdb374019d10db05`	completed	April 19, 2026, 7:57 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0491746a548190a6922b40db6fde47`	completed	May 13, 2026, 2:57 p.m.
NEDg	Description generation	`batch_6a04922aa908819093d00f57fdb00627`	completed	May 13, 2026, 3 p.m.
NED2	Entity disambiguation (via description)	`batch_6a04933727488190b7a04789a17a16a0`	completed	May 13, 2026, 3:05 p.m.

Created at: April 10, 2026, 11:37 a.m.