Triple

T10891568
Position Surface form Disambiguated ID Type / Status
Subject Landsmeer E257189 entity
Predicate sharesBorderWith P224 FINISHED
Object Waterland E126134 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: Waterland | Statement: [Landsmeer, sharesBorderWith, Waterland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterland
Context triple: [Landsmeer, sharesBorderWith, Waterland]
  • A. Waterland chosen
    Waterland is a rural municipality in the Dutch province of North Holland, known for its historic villages, waterways, and traditional polder landscapes just north of Amsterdam.
  • B. The Edge of the Sea
    The Edge of the Sea is a 1955 nature book by marine biologist and environmentalist Rachel Carson that explores the ecology and beauty of coastal shorelines.
  • C. The Lowland
    The Lowland is a novel by Jhumpa Lahiri that explores the intertwined lives of two brothers from Calcutta against the backdrop of political upheaval and family tragedy.
  • D. Crow Island
    Crow Island is a small island located within Sitka Sound off the coast of Baranof Island in southeastern Alaska.
  • E. Black Pond
    Black Pond is a small freshwater lake located in the town of Sweden in western Maine, known for its quiet, rural setting.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7520550c4819081296546c8f534f1 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1550d6b4081909483c5dfa6e85671 completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.