Triple

T6345216
Position Surface form Disambiguated ID Type / Status
Subject Volkerakmeer E142726 entity
Predicate connectedTo P37 FINISHED
Object Grevelingenmeer E115389 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: Grevelingenmeer | Statement: [Volkerakmeer, connectedTo, Grevelingenmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grevelingenmeer
Context triple: [Volkerakmeer, connectedTo, Grevelingenmeer]
  • A. Grevelingenmeer chosen
    Grevelingenmeer is a large saltwater lake in the southwestern Netherlands, known for its water sports, nature reserves, and role in the Delta Works coastal defense system.
  • B. Alkmaardermeer
    Alkmaardermeer is a lake in North Holland, the Netherlands, known for recreational boating, sailing, and waterside leisure activities.
  • C. 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.
  • D. Haarlemmermeer
    Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
  • E. Oldambtmeer
    Oldambtmeer is an artificial lake in the municipality of Oldambt in the province of Groningen, Netherlands, created as part of a large-scale landscape and recreational development project.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067b7e0d08190abacaf41c08ed15e completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604454fd48190972476a0929dfb9d completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.