Triple

T10947108
Position Surface form Disambiguated ID Type / Status
Subject Prinses Margrietkanaal E258625 entity
Predicate connects P390 FINISHED
Object IJsselmeer E112682 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: IJsselmeer | Statement: [Prinses Margrietkanaal, connects, IJsselmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IJsselmeer
Context triple: [Prinses Margrietkanaal, connects, IJsselmeer]
  • A. IJsselmeer chosen
    IJsselmeer is a large shallow freshwater lake in the central Netherlands, created by the closure of the Zuiderzee and known for its dikes, reclaimed polders, and importance to Dutch water management and recreation.
  • B. Zuidermeer
    Zuidermeer is a water area or sub-lake within the Kagerplassen lake district in the Netherlands, known for boating and watersports.
  • C. Haarlemmermeer
    Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
  • D. 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.
  • E. Alkmaardermeer
    Alkmaardermeer is a lake in North Holland, the Netherlands, known for recreational boating, sailing, and waterside leisure activities.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.