Triple

T1135046
Position Surface form Disambiguated ID Type / Status
Subject North Brabant E23119 entity
Predicate containsCity P294 FINISHED
Object Heusden
Heusden is a historic fortified town in the southern Netherlands known for its well-preserved ramparts and picturesque old harbor.
 E232561 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: Heusden | Statement: [North Brabant, containsCity, Heusden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heusden
Context triple: [North Brabant, containsCity, Heusden]
  • A. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • B. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • C. Heemstede
    Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
  • D. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • E. Hardinxveld-Giessendam
    Hardinxveld-Giessendam is a Dutch town and municipality known for its shipbuilding industry and location along the river Merwede in the province of South Holland.
  • 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: Heusden
Triple: [North Brabant, containsCity, Heusden]
Generated description
Heusden is a historic fortified town in the southern Netherlands known for its well-preserved ramparts and picturesque old harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heusden
Target entity description: Heusden is a historic fortified town in the southern Netherlands known for its well-preserved ramparts and picturesque old harbor.
  • A. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • B. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • C. Heemstede
    Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
  • D. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • E. Hardinxveld-Giessendam
    Hardinxveld-Giessendam is a Dutch town and municipality known for its shipbuilding industry and location along the river Merwede in the province of South Holland.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbfffaa48190b2534ff4da3544ce completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae26ce527c8190988fd9a97ad06895 completed March 9, 2026, 1:47 a.m.
NEDg Description generation batch_69ae2763b4b08190b733e8342a52f75e completed March 9, 2026, 1:50 a.m.
NED2 Entity disambiguation (via description) batch_69ae27d10bf08190a14fa1ca906646f8 completed March 9, 2026, 1:52 a.m.
Created at: March 1, 2026, 7:44 p.m.