Triple

T3340633
Position Surface form Disambiguated ID Type / Status
Subject Ruwaard of Putten E70249 entity
Predicate locatedIn P40 FINISHED
Object Putten
Putten is a town and municipality in the province of Gelderland in the central Netherlands, known for its rural character and World War II history.
 E349805 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: Putten | Statement: [Ruwaard of Putten, locatedIn, Putten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Putten
Context triple: [Ruwaard of Putten, locatedIn, Putten]
  • A. Hampoort
    Hampoort is a historic city gate, likely part of the old fortifications of a European town or city.
  • 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. Wilrijk
    Wilrijk is a southern district of the Belgian city of Antwerp, known for its residential character and green spaces.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. Hackenholt
    Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
  • 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: Putten
Triple: [Ruwaard of Putten, locatedIn, Putten]
Generated description
Putten is a town and municipality in the province of Gelderland in the central Netherlands, known for its rural character and World War II history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Putten
Target entity description: Putten is a town and municipality in the province of Gelderland in the central Netherlands, known for its rural character and World War II history.
  • A. Hampoort
    Hampoort is a historic city gate, likely part of the old fortifications of a European town or city.
  • 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. Wilrijk
    Wilrijk is a southern district of the Belgian city of Antwerp, known for its residential character and green spaces.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. Hackenholt
    Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a92555c81909a4769b6ecea5721 completed March 12, 2026, 7:57 p.m.
NEDg Description generation batch_69b31c3aaba48190b203e344d71080f3 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da28a04819096e7ced5f123592a completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:12 p.m.