Triple

T5893393
Position Surface form Disambiguated ID Type / Status
Subject Loon op Zand E131043 entity
Predicate borderedBy P224 FINISHED
Object Dongen
Dongen is a municipality and town in the province of North Brabant in the southern Netherlands.
 E686703 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: Dongen | Statement: [Loon op Zand, borderedBy, Dongen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dongen
Context triple: [Loon op Zand, borderedBy, Dongen]
  • A. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • B. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • C. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • D. Gogeldrie
    Gogeldrie is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the Murrumbidgee River.
  • E. Oudelande
    Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
  • 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: Dongen
Triple: [Loon op Zand, borderedBy, Dongen]
Generated description
Dongen is a municipality and town in the province of North Brabant in the southern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dongen
Target entity description: Dongen is a municipality and town in the province of North Brabant in the southern Netherlands.
  • A. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • B. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • C. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • D. Gogeldrie
    Gogeldrie is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the Murrumbidgee River.
  • E. Oudelande
    Oudelande is a small village in the Dutch province of Zeeland, known for its rural character and traditional polder landscape.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b5c68481909fdcba428238c74d completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7a4eddc81908148e3428c69d654 completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c848b9348190b8359105000411e8 completed March 29, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8b920c48190875c89eea6aecc8a completed March 29, 2026, 6:37 a.m.
Created at: March 22, 2026, 3:58 p.m.