Triple

T7625329
Position Surface form Disambiguated ID Type / Status
Subject River Kinder E172613 entity
Predicate hasStructureOnCourse P78177 FINISHED
Object Kinder Reservoir dam E508481 NE FINISHED

How this triple was built (3 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: Kinder Reservoir dam | Statement: [River Kinder, hasStructureOnCourse, Kinder Reservoir dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinder Reservoir dam
Context triple: [River Kinder, hasStructureOnCourse, Kinder Reservoir dam]
  • A. Fengman Dam
    Fengman Dam is a large hydroelectric gravity dam on the Songhua River in Jilin Province, China, known for its significant role in regional power generation and flood control.
  • B. Stewart Mountain Dam
    Stewart Mountain Dam is a concrete thin-arch dam on Arizona’s Salt River that forms Saguaro Lake and provides water storage, hydroelectric power, and recreation.
  • C. Howden Dam chosen
    Howden Dam is a large masonry dam in Derbyshire, England, forming part of the Upper Derwent Valley reservoir system and known for its impressive architecture and role in regional water supply.
  • D. Denison Dam
    Denison Dam is a large earthen dam on the Red River between Texas and Oklahoma, built for flood control, hydroelectric power generation, and water supply.
  • E. Garrison Dam
    Garrison Dam is a large hydroelectric and flood-control dam on the Missouri River in North Dakota, forming Lake Sakakawea, one of the largest man-made reservoirs in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStructureOnCourse
Context triple: [River Kinder, hasStructureOnCourse, Kinder Reservoir dam]
  • A. hasCurricularStructure
    Indicates that an educational program or course is organized according to a defined curricular framework or structure.
  • B. courseStructure
    Indicates how a course is organized into its constituent parts, such as modules, units, lessons, and their sequencing or hierarchy.
  • C. hasCoursePattern
    Indicates that an entity follows, is associated with, or is defined by a particular course structure or pattern.
  • D. hasQualificationStructure
    Indicates that an entity is associated with a specific configuration or pattern of qualifications (e.g., degrees, certifications, or credentials) that define how those qualifications are organized or structured.
  • E. hasCoursePar
    Indicates that one course is a parent or higher-level course in relation to another course, such as a prerequisite or overarching course.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fe73ff7c8190ab1218d97b37416d completed March 27, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c922a94b3881908a3482ca45891df7 completed March 29, 2026, 1:01 p.m.
PD Predicate disambiguation batch_69c6f4e725a88190b1f05dd224f7f4f2 completed March 27, 2026, 9:21 p.m.
PDg Predicate description generation batch_69c6fe7323b0819081664662d2f26937 completed March 27, 2026, 10:02 p.m.
Created at: March 27, 2026, 3:56 p.m.