Triple

T10707849
Position Surface form Disambiguated ID Type / Status
Subject Braassemermeer E252452 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Oude Wetering E226404 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: Oude Wetering | Statement: [Braassemermeer, hasShorelineSettlement, Oude Wetering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oude Wetering
Context triple: [Braassemermeer, hasShorelineSettlement, Oude Wetering]
  • A. Oude Wetering chosen
    Oude Wetering is a village in the Dutch province of South Holland, known for its location along waterways in the municipality of Kaag en Braassem.
  • B. Nieuwe Wetering
    Nieuwe Wetering is a small village in the Dutch province of South Holland, known for its rural character and location amid the waterways and polders of the Kaag en Braassem area.
  • C. Woudwetering
    Woudwetering is a Dutch waterway in South Holland that serves as an important local canal near the village of Woubrugge.
  • D. Zuidwolde
    Zuidwolde is a village in the Dutch province of Drenthe that serves as the administrative center of the municipality of De Wolden.
  • E. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb703b1ec8190b11fbb381c929a90 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.