Triple

T565128
Position Surface form Disambiguated ID Type / Status
Subject South Holland E13536 entity
Predicate containsCity P294 FINISHED
Object Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
 E202035 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: Nissewaard | Statement: [South Holland, containsCity, Nissewaard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nissewaard
Context triple: [South Holland, containsCity, Nissewaard]
  • A. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • D. Werkendam
    Werkendam is a town in the Dutch province of North Brabant, known as a gateway to the Biesbosch National Park and its riverine landscapes.
  • E. Naaldwijk
    Naaldwijk is a town in the Westland municipality of the western Netherlands, known for its extensive greenhouse horticulture and flower industry.
  • 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: Nissewaard
Triple: [South Holland, containsCity, Nissewaard]
Generated description
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nissewaard
Target entity description: Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
  • A. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • D. Werkendam
    Werkendam is a town in the Dutch province of North Brabant, known as a gateway to the Biesbosch National Park and its riverine landscapes.
  • E. Naaldwijk
    Naaldwijk is a town in the Westland municipality of the western Netherlands, known for its extensive greenhouse horticulture and flower industry.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a74793481908fee3baff0b1d348 completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5a101108190897a066413a3b6a1 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b2b01c8190997179cdfd55da13 completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb94aaf348190a28ca8e9d9cacf41 completed March 8, 2026, 6 p.m.
Created at: March 1, 2026, 7:32 p.m.