Triple

T18852384
Position Surface form Disambiguated ID Type / Status
Subject Roermond E461071 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Maasgouw
Maasgouw is a municipality in the Dutch province of Limburg, known for its historic villages and location along the river Maas.
E1345631 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: Maasgouw | Statement: [Roermond, hasNeighbouringMunicipality, Maasgouw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maasgouw
Context triple: [Roermond, hasNeighbouringMunicipality, Maasgouw]
  • A. Maasmechelen
    Maasmechelen is a municipality in the Belgian province of Limburg, known for its proximity to the Meuse River and the popular Maasmechelen Village outlet shopping center.
  • B. Maasmond
    Maasmond is the Dutch name for the estuary where the River Meuse (Maas) flows into the North Sea, an important maritime gateway in the Netherlands.
  • C. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • D. Zandbergen
    Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • E. Zandbergen
    Zandbergen is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
  • 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: Maasgouw
Triple: [Roermond, hasNeighbouringMunicipality, Maasgouw]
Generated description
Maasgouw is a municipality in the Dutch province of Limburg, known for its historic villages and location along the river Maas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maasgouw
Target entity description: Maasgouw is a municipality in the Dutch province of Limburg, known for its historic villages and location along the river Maas.
  • A. Maasmechelen
    Maasmechelen is a municipality in the Belgian province of Limburg, known for its proximity to the Meuse River and the popular Maasmechelen Village outlet shopping center.
  • B. Maasmond
    Maasmond is the Dutch name for the estuary where the River Meuse (Maas) flows into the North Sea, an important maritime gateway in the Netherlands.
  • C. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • D. Zandbergen
    Zandbergen is a village in East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • E. Zandbergen
    Zandbergen is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05a8a708190b9b2b8f95b2f1d23 completed April 20, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0567799c5c8190834e578cae97b3ba completed May 14, 2026, 6:11 a.m.
NEDg Description generation batch_6a056b4acd00819083be23d698cf8ded completed May 14, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_6a056beea0e88190987589c3d25ddd07 completed May 14, 2026, 6:30 a.m.
Created at: April 10, 2026, 11:56 a.m.