Triple

T8534244
Position Surface form Disambiguated ID Type / Status
Subject Nissewaard E202035 entity
Predicate hasMayor P185 FINISHED
Object Foort van Oosten
Foort van Oosten is a Dutch politician who serves as the mayor of the municipality of Nissewaard in the Netherlands.
 E741943 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: Foort van Oosten | Statement: [Nissewaard, hasMayor, Foort van Oosten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foort van Oosten
Context triple: [Nissewaard, hasMayor, Foort van Oosten]
  • A. Nassau de Zuylestein
    Nassau de Zuylestein is a Dutch noble family of the House of Orange-Nassau whose members held English titles and played prominent roles in Anglo-Dutch political and court life.
  • B. Volendam
    Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
  • C. Westeinde
    Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. Diemen
    Diemen is a town and municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
  • 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: Foort van Oosten
Triple: [Nissewaard, hasMayor, Foort van Oosten]
Generated description
Foort van Oosten is a Dutch politician who serves as the mayor of the municipality of Nissewaard in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foort van Oosten
Target entity description: Foort van Oosten is a Dutch politician who serves as the mayor of the municipality of Nissewaard in the Netherlands.
  • A. Nassau de Zuylestein
    Nassau de Zuylestein is a Dutch noble family of the House of Orange-Nassau whose members held English titles and played prominent roles in Anglo-Dutch political and court life.
  • B. Volendam
    Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
  • C. Westeinde
    Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. Diemen
    Diemen is a town and municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a0ccd4819097b41d0dfb1c5018 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d7aa3a881909bfdd3536dbc4ec7 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:17 p.m.