Triple

T17001085
Position Surface form Disambiguated ID Type / Status
Subject Rottumeroog E412443 entity
Predicate separatedFrom P243 FINISHED
Object Rottumerplaat E402727 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: Rottumerplaat | Statement: [Rottumeroog, separatedFrom, Rottumerplaat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rottumerplaat
Context triple: [Rottumeroog, separatedFrom, Rottumerplaat]
  • A. Rottumerplaat chosen
    Rottumerplaat is a small, uninhabited Dutch barrier island in the Wadden Sea, known for its protected nature reserve and birdlife.
  • B. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • C. Blaricum
    Blaricum is a small, affluent village in the Dutch province of North Holland, known for its historic farmhouses, green surroundings, and popularity as a residential area for the wealthy.
  • D. Raalte
    Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
  • E. Leenderbos
    Leenderbos is a large forest and nature reserve in the Dutch province of North Brabant, known for its pine woods, heathlands, and walking and cycling trails.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37d9f9081909aef52426d88940d completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1e2f708190999f6fab16fdabe8 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.