Triple

T21883235
Position Surface form Disambiguated ID Type / Status
Subject Watergang E540340 entity
Predicate locatedInMunicipality P40 FINISHED
Object Waterland NE NERFINISHED

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: [Watergang, locatedInMunicipality, Waterland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterland
Context triple: [Watergang, locatedInMunicipality, 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. Waterland
    Waterland is a 1992 British-American drama film adaptation of Graham Swift’s novel, exploring memory, history, and personal trauma in the English Fens.
  • C. 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.
  • D. The Wakes
    The Wakes is a historic house in Selborne, Hampshire, best known as the former home of naturalist Gilbert White and now a museum dedicated to his life and work.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e9d3508190aadcfcdac0376387 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.