Triple

T1092566
Position Surface form Disambiguated ID Type / Status
Subject Theodorus van Gogh E24197 entity
Predicate placeOfBirth P1 FINISHED
Object Benschop
Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
 E125660 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: Benschop | Statement: [Theodorus van Gogh, placeOfBirth, Benschop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benschop
Context triple: [Theodorus van Gogh, placeOfBirth, Benschop]
  • A. 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.
  • B. Neeleman
    Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
  • C. Robrecht
    Robrecht is a Dutch and Flemish given name, cognate with Robert, traditionally borne by men in the Low Countries.
  • D. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • E. Poeldijk
    Poeldijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
  • 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: Benschop
Triple: [Theodorus van Gogh, placeOfBirth, Benschop]
Generated description
Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benschop
Target entity description: Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • A. 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.
  • B. Neeleman
    Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
  • C. Robrecht
    Robrecht is a Dutch and Flemish given name, cognate with Robert, traditionally borne by men in the Low Countries.
  • D. Koos
    Koos is the commonly used nickname of Koos de la Rey, a prominent Boer general and political figure from South African history.
  • E. Poeldijk
    Poeldijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99bd06c8190bce1d77b0337b07c completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c2c6b048190b603e9562dde65d0 completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4ca07ce88190bfbf959adc84a74e completed March 7, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d3f62c881908e189bfe8cbbd2ac completed March 7, 2026, 4:07 p.m.
Created at: March 1, 2026, 7:42 p.m.