Triple

T13355608
Position Surface form Disambiguated ID Type / Status
Subject Vogelenzang E318682 entity
Predicate hasNearbyWaterManagementArea P46549 FINISHED
Object water supply dunes of Amsterdam 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: water supply dunes of Amsterdam | Statement: [Vogelenzang, hasNearbyWaterManagementArea, water supply dunes of Amsterdam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyWaterManagementArea
Context triple: [Vogelenzang, hasNearbyWaterManagementArea, water supply dunes of Amsterdam]
  • A. hasNearbyWaterInfrastructure
    Indicates that a location or entity is situated close to water-related infrastructure such as pipes, treatment facilities, or distribution systems.
  • B. waterManagementArea chosen
    Indicates the designated region or zone over which specific water resources are managed, regulated, or administered.
  • C. hasWaterManagementStructure
    Indicates that one entity possesses, contains, or is associated with a built feature used to control, store, convey, or manage water.
  • D. hasNearbyWater
    Indicates that one entity is located close to a body of water associated with or relevant to another entity.
  • E. hasNearbyWatersUsedBy
    Indicates that a body of water located near an entity is utilized or accessed by another specified entity.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99f1ef94c81909a59b7c3f77d3335 completed April 11, 2026, 1:08 a.m.
PD Predicate disambiguation batch_69d98f6fd8bc819086dddb6f376efa57 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:32 p.m.