Triple

T29716363
Position Surface form Disambiguated ID Type / Status
Subject 阿賀野川 E751918 entity
Predicate 流域利用 P116183 FINISHED
Object 水田灌漑 LITERAL 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: 水田灌漑 | Statement: [阿賀野川, 流域利用, 水田灌漑]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 流域利用
Context triple: [阿賀野川, 流域利用, 水田灌漑]
  • A. 流域特点
    Indicates the characteristic features or attributes that define a river basin’s natural or environmental conditions.
  • B. hasRiverUse
    Indicates that one entity makes use of a river associated with another entity, such as for transport, irrigation, recreation, or other purposes.
  • C. basinUse chosen
    Indicates that a basin is used for a particular purpose, activity, or function.
  • D. waterManagementArea
    Indicates the designated region or zone over which specific water resources are managed, regulated, or administered.
  • E. isSharedFreshwaterResourceOf
    Indicates that a freshwater resource (such as a river, lake, or aquifer) is jointly used, managed, or claimed by multiple parties (e.g., states, regions, or communities).
  • F. None of above.

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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672dcd4b88190828b19990dfe6ed9 completed May 2, 2026, 9:55 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 7:34 p.m.