Triple

T3482754
Position Surface form Disambiguated ID Type / Status
Subject Aarle-Rixtel E73530 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Beek en Donk
Beek en Donk is a village in the province of North Brabant in the southern Netherlands, known for its rural character and proximity to other small settlements.
 E379457 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: Beek en Donk | Statement: [Aarle-Rixtel, hasNearbySettlement, Beek en Donk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beek en Donk
Context triple: [Aarle-Rixtel, hasNearbySettlement, Beek en Donk]
  • A. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • B. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Oranjewoud
    Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
  • E. Honselersdijk
    Honselersdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
  • 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: Beek en Donk
Triple: [Aarle-Rixtel, hasNearbySettlement, Beek en Donk]
Generated description
Beek en Donk is a village in the province of North Brabant in the southern Netherlands, known for its rural character and proximity to other small settlements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beek en Donk
Target entity description: Beek en Donk is a village in the province of North Brabant in the southern Netherlands, known for its rural character and proximity to other small settlements.
  • A. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • B. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Oranjewoud
    Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
  • E. Honselersdijk
    Honselersdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3718bd88190bec2f4cfda0010ae completed March 14, 2026, 2:09 a.m.
NEDg Description generation batch_69b4c4842860819096564ca5c44ccc7f completed March 14, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69b4c5295738819095878833d65b63f5 completed March 14, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.