Triple

T6203361
Position Surface form Disambiguated ID Type / Status
Subject Juliana Canal E138690 entity
Predicate startPoint P389 FINISHED
Object Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
 E690445 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: Maasbracht | Statement: [Juliana Canal, startPoint, Maasbracht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maasbracht
Context triple: [Juliana Canal, startPoint, Maasbracht]
  • A. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • B. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • C. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • D. Bodegraven
    Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
  • E. Maarssen
    Maarssen is a town in the Dutch province of Utrecht, situated along the river Vecht and functioning largely as a residential and commuter community near the city of Utrecht.
  • 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: Maasbracht
Triple: [Juliana Canal, startPoint, Maasbracht]
Generated description
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maasbracht
Target entity description: Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • A. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • B. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • C. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • D. Bodegraven
    Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
  • E. Maarssen
    Maarssen is a town in the Dutch province of Utrecht, situated along the river Vecht and functioning largely as a residential and commuter community near the city of Utrecht.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626c23f481909d2b5b0a75c2ffff completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9379e5898819083bece0d129fed5c completed March 29, 2026, 2:30 p.m.
NEDg Description generation batch_69c93896e0788190ab14cc289919bfd6 completed March 29, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69c938e5e8b08190a1a4f4240036bb29 completed March 29, 2026, 2:36 p.m.
Created at: March 22, 2026, 4:20 p.m.