Triple

T19995777
Position Surface form Disambiguated ID Type / Status
Subject Margraten E494188 entity
Predicate partOf P40 FINISHED
Object Eijsden-Margraten 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: Eijsden-Margraten | Statement: [Margraten, partOf, Eijsden-Margraten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eijsden-Margraten
Context triple: [Margraten, partOf, Eijsden-Margraten]
  • A. Eijsden-Margraten chosen
    Eijsden-Margraten is a municipality in the southern Dutch province of Limburg, known for its rolling countryside and the presence of the Netherlands American Cemetery honoring U.S. World War II soldiers.
  • B. Roermond
    Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
  • C. Kerkrade
    Kerkrade is a town in the southeastern Netherlands, near the German border, known for its mining history and the international music festival WMC Kerkrade.
  • D. Mijdrecht
    Mijdrecht is a town in the Dutch province of Utrecht known as the main population and service center of the municipality of De Ronde Venen.
  • E. Torhout
    Torhout is a small city in West Flanders, Belgium, known for its educational institutions and its location near Bruges.
  • 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.