Triple

T35446044
Position Surface form Disambiguated ID Type / Status
Subject Beemster Lake E1024487 entity
Predicate areaAfterReclamation P66139 FINISHED
Object about 70 square kilometres 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: about 70 square kilometres | Statement: [Beemster Lake, areaAfterReclamation, about 70 square kilometres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaAfterReclamation
Context triple: [Beemster Lake, areaAfterReclamation, about 70 square kilometres]
  • A. hasLandReclamation
    Indicates that an entity has carried out, is involved in, or is characterized by the process of creating new land from oceans, rivers, or other water bodies.
  • B. coveredArea chosen
    Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
  • C. areaRestoredBy
    Indicates that a specified area has been returned to a previous or improved condition through the actions or interventions of a particular agent or process.
  • D. areaReducedBy
    Indicates that the area of one entity has been decreased by a specified amount or proportion due to the influence or action of another entity or factor.
  • E. acquiredLandArea
    Indicates the total area of land that has been obtained or taken possession of through an acquisition.
  • 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_69f76df8089481909f0018266ee881b7 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79da9f80c8190b0afd8509f28747b completed May 3, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69f79617d40481909ba372f94209c08b completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:04 p.m.