Triple

T6021102
Position Surface form Disambiguated ID Type / Status
Subject Hayfield E134064 entity
Predicate near P350 FINISHED
Object Kinder Reservoir E524354 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: Kinder Reservoir | Statement: [Hayfield, near, Kinder Reservoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinder Reservoir
Context triple: [Hayfield, near, Kinder Reservoir]
  • A. Kinder Reservoir chosen
    Kinder Reservoir is a man-made upland water reservoir in the Peak District of Derbyshire, England, surrounded by moorland and popular walking routes.
  • B. Canistear Reservoir
    Canistear Reservoir is a man-made lake in northern New Jersey that serves as a water supply and recreational area within the township of West Milford.
  • C. Fengman Reservoir
    Fengman Reservoir is a major artificial lake and hydroelectric reservoir on the upper Songhua River in Jilin Province, China, known for its role in power generation, flood control, and regional water supply.
  • D. C. J. Brown Reservoir
    C. J. Brown Reservoir is a man-made lake in Ohio known for boating, fishing, and serving as the centerpiece of Buck Creek State Park.
  • E. Kama Reservoir
    Kama Reservoir is a large artificial lake in Russia formed by damming the Kama River, used primarily for hydroelectric power generation, navigation, and water regulation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518c29dfc8190a55a54fbe6608dd2 completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:07 p.m.