Triple

T19995787
Position Surface form Disambiguated ID Type / Status
Subject Margraten E494188 entity
Predicate locatedNear P294 FINISHED
Object Valkenburg aan de Geul 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: Valkenburg aan de Geul | Statement: [Margraten, locatedNear, Valkenburg aan de Geul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valkenburg aan de Geul
Context triple: [Margraten, locatedNear, Valkenburg aan de Geul]
  • A. Valkenburg aan de Geul chosen
    Valkenburg aan de Geul is a historic town in the hilly Limburg region of the Netherlands, known for its cycling heritage, marlstone caves, and medieval castle ruins.
  • B. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • C. Vinkeveen
    Vinkeveen is a Dutch village in the province of Utrecht, best known for its lakes and recreational water activities.
  • D. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • E. Groesbeek
    Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.