Triple

T10520750
Position Surface form Disambiguated ID Type / Status
Subject Gilze en Rijen E248162 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Rijen
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.
E868573 NE FINISHED

How this triple was built (4 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, hasAdministrativeCenter, Rijen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rijen
Context triple: [Gilze en Rijen, hasAdministrativeCenter, Rijen]
  • A. Land van Rijen
    Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
  • B. Rijmen
    Rijmen is a Dutch-language surname most notably borne by Belgian cryptographer Vincent Rijmen, co-designer of the AES encryption algorithm.
  • C. Zevenaar
    Zevenaar is a town and municipality in the eastern Netherlands, near the German border in the province of Gelderland.
  • D. Driewegen
    Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • E. Rhoonse Grienden
    Rhoonse Grienden is a Dutch nature reserve of tidal wetlands and willow forests near the village of Rhoon, known for its rich birdlife and characteristic river landscape along the Oude Maas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rijen
Triple: [Gilze en Rijen, hasAdministrativeCenter, Rijen]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rijen
Target entity description: 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.
  • A. Land van Rijen
    Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
  • B. Rijmen
    Rijmen is a Dutch-language surname most notably borne by Belgian cryptographer Vincent Rijmen, co-designer of the AES encryption algorithm.
  • C. Zevenaar
    Zevenaar is a town and municipality in the eastern Netherlands, near the German border in the province of Gelderland.
  • D. Driewegen
    Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • E. Rhoonse Grienden
    Rhoonse Grienden is a Dutch nature reserve of tidal wetlands and willow forests near the village of Rhoon, known for its rich birdlife and characteristic river landscape along the Oude Maas.
  • F. None of above. chosen

Provenance (5 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_69d90e119fe4819085e5c1c6e71e6260 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107dc8448190998c4044f68a775e completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911e7d2dc8190a67b2513607fdf98 completed April 10, 2026, 3:06 p.m.
Created at: April 6, 2026, 12:28 p.m.