Triple

T6757749
Position Surface form Disambiguated ID Type / Status
Subject Sjoerd Soeters E154505 entity
Predicate familyName P18 FINISHED
Object Soeters
Soeters is a Dutch surname most notably associated with architect and urban planner Sjoerd Soeters.
 E617933 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: Soeters | Statement: [Sjoerd Soeters, familyName, Soeters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Soeters
Context triple: [Sjoerd Soeters, familyName, Soeters]
  • A. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • B. Winschoten
    Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
  • C. Leeuwaren
    Leeuwaren (modern Dutch: Leeuwarden) is a historic city in the northern Netherlands that serves as the capital of the province of Friesland.
  • D. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • E. Scheut
    Scheut is a neighborhood in the Brussels municipality of Anderlecht, known historically for its religious institutions and urban residential character.
  • 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: Soeters
Triple: [Sjoerd Soeters, familyName, Soeters]
Generated description
Soeters is a Dutch surname most notably associated with architect and urban planner Sjoerd Soeters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Soeters
Target entity description: Soeters is a Dutch surname most notably associated with architect and urban planner Sjoerd Soeters.
  • A. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • B. Winschoten
    Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
  • C. Leeuwaren
    Leeuwaren (modern Dutch: Leeuwarden) is a historic city in the northern Netherlands that serves as the capital of the province of Friesland.
  • D. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • E. Scheut
    Scheut is a neighborhood in the Brussels municipality of Anderlecht, known historically for its religious institutions and urban residential character.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f76c9c81908c213772a54f1352 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712ad568c8190bc82f6149c22273a completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713b3accc81908d19c1b00e2c312c completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7146413748190b844d9422dce42c2 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:11 p.m.