Triple

T4526058
Position Surface form Disambiguated ID Type / Status
Subject Ruza Reservoir E106181 entity
Predicate hasPart P35 FINISHED
Object Ruza Reservoir dam E106181 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: Ruza Reservoir dam | Statement: [Ruza Reservoir, hasPart, Ruza Reservoir dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruza Reservoir dam
Context triple: [Ruza Reservoir, hasPart, Ruza Reservoir dam]
  • A. Ruza Reservoir chosen
    Ruza Reservoir is a large artificial lake in the Moscow region of Russia, created by damming the Ruza River to serve as a key source of water supply and recreation.
  • B. Valvan Dam
    Valvan Dam is a scenic reservoir and popular picnic spot near Lonavala in Maharashtra, known for its tranquil lake, lush surroundings, and pleasant climate.
  • C. Lahontan Dam
    Lahontan Dam is a large early-20th-century concrete gravity dam in western Nevada that creates Lahontan Reservoir for irrigation, flood control, and recreation.
  • D. Jurala Dam
    Jurala Dam is a major irrigation and hydroelectric project built across the Krishna River in Telangana, India.
  • E. Salagou Dam
    Salagou Dam is a French hydraulic structure in the Hérault department that created the artificial Lac du Salagou, now known for its striking red landscapes and recreational activities.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacd4a09881909cf0e9d665454e38 completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:03 p.m.