Triple

T10508747
Position Surface form Disambiguated ID Type / Status
Subject Rijnsaterwoude E247854 entity
Predicate nearWaterBody P8567 FINISHED
Object Braassemermeer E252452 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: Braassemermeer | Statement: [Rijnsaterwoude, nearWaterBody, Braassemermeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braassemermeer
Context triple: [Rijnsaterwoude, nearWaterBody, Braassemermeer]
  • A. Braassemermeer chosen
    Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
  • B. Alkmaardermeer
    Alkmaardermeer is a lake in North Holland, the Netherlands, known for recreational boating, sailing, and waterside leisure activities.
  • C. Meppelerdiep
    Meppelerdiep is a canalized river and important waterway in the northeastern Netherlands that connects the town of Meppel with larger regional waterways.
  • D. Uitgeestermeer
    Uitgeestermeer is a lake in North Holland, the Netherlands, known for its recreational boating, sailing, and natural wetland surroundings near the town of Uitgeest.
  • E. Volkerakmeer
    Volkerakmeer is a lake in the southwestern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway and water management area.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b287ac8190805a2375bd16b7ae completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99884c70481909fb45b7598f84c64 completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 12:26 p.m.