Triple

T7606255
Position Surface form Disambiguated ID Type / Status
Subject Roer E180110 entity
Predicate hasStructure P35 FINISHED
Object Urft Dam E520960 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: Urft Dam | Statement: [Roer, hasStructure, Urft Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urft Dam
Context triple: [Roer, hasStructure, Urft Dam]
  • A. Derwent Dam
    Derwent Dam is a large historic masonry dam in Derbyshire, England, best known for its role in World War II RAF "Dambusters" training and as a prominent feature of the Upper Derwent Valley.
  • B. Bleiloch Dam
    Bleiloch Dam is a large hydroelectric and flood-control dam in Thuringia, Germany, forming the country’s biggest reservoir on the upper Saale River.
  • C. Urft Reservoir chosen
    Urft Reservoir is a historic artificial lake in Germany’s Eifel region, known for its early 20th-century dam and scenic setting within Eifel National Park.
  • D. Keswick Dam
    Keswick Dam is a concrete gravity dam on the Sacramento River in Northern California that regulates flows and generates hydroelectric power as part of the region’s large federal water management system.
  • E. Lymm Dam
    Lymm Dam is a historic man-made lake and surrounding woodland in Lymm, Cheshire, popular for walking, wildlife, and scenic views.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86857db14819086d5ebd825d30e77 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.