Triple

T35911493
Position Surface form Disambiguated ID Type / Status
Subject Oigawa River E1038624 entity
Predicate hasTributary P415 FINISHED
Object Ikawa River
The Ikawa River is a Japanese river that flows through Shizuoka Prefecture as a tributary of the larger Ōi River, contributing to the region’s mountainous watershed and hydroelectric resources.
 E2293580 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: Ikawa River | Statement: [Oigawa River, hasTributary, Ikawa River]
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: Ikawa River
Triple: [Oigawa River, hasTributary, Ikawa River]
Generated description
The Ikawa River is a Japanese river that flows through Shizuoka Prefecture as a tributary of the larger Ōi River, contributing to the region’s mountainous watershed and hydroelectric resources.

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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aaa2525081909a333b254f7059c6 completed May 3, 2026, 8:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7ac2ff181481909764ac61cadcb4a3 completed Aug. 11, 2026, 6:36 a.m.
NEDg Description generation batch_6a7ac3d0d8e881909489943e43a9f725 completed Aug. 11, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a7ac40451f08190b553a2e4086037d3 completed Aug. 11, 2026, 6:41 a.m.
Created at: May 3, 2026, 4:07 p.m.