Triple

T10520752
Position Surface form Disambiguated ID Type / Status
Subject Gilze en Rijen E248162 entity
Predicate hasSettlement P1068 FINISHED
Object Rijen E868573 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: Rijen | Statement: [Gilze en Rijen, hasSettlement, Rijen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rijen
Context triple: [Gilze en Rijen, hasSettlement, Rijen]
  • A. Rijen chosen
    Rijen is a town in the Dutch province of North Brabant that serves as the main population center of the municipality of Gilze en Rijen.
  • B. Land van Rijen
    Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
  • C. Rijmen
    Rijmen is a Dutch-language surname most notably borne by Belgian cryptographer Vincent Rijmen, co-designer of the AES encryption algorithm.
  • D. Zevenaar
    Zevenaar is a town and municipality in the eastern Netherlands, near the German border in the province of Gelderland.
  • E. Driewegen
    Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dec25881909bc748640f26a416 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933f2d9e48190a4c5d5d5bdc0d7d8 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:28 p.m.