Triple

T20498205
Position Surface form Disambiguated ID Type / Status
Subject Enkhuizen railway station E503227 entity
Predicate adjacentTo P224 FINISHED
Object IJsselmeer 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: IJsselmeer | Statement: [Enkhuizen railway station, adjacentTo, IJsselmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IJsselmeer
Context triple: [Enkhuizen railway station, adjacentTo, 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. Naardermeer
    Naardermeer is a Dutch freshwater lake and nature reserve, renowned as the Netherlands’ first protected natural area and an important habitat for birds and wetland wildlife.
  • 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 (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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbff210819089900e9a35911f48 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.