Triple

T13543952
Position Surface form Disambiguated ID Type / Status
Subject De Bilt E323463 entity
Predicate contains P35 FINISHED
Object Groenekan
Groenekan is a small village in the Dutch province of Utrecht, situated near the city of Utrecht and administratively part of the municipality of De Bilt.
 E1046443 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: Groenekan | Statement: [De Bilt, contains, Groenekan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Groenekan
Context triple: [De Bilt, contains, Groenekan]
  • A. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • B. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • C. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • D. Kortenaer
    Kortenaer is a Dutch surname most notably associated with the 17th-century admiral Egbert Bartholomeusz Kortenaer.
  • E. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • 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: Groenekan
Triple: [De Bilt, contains, Groenekan]
Generated description
Groenekan is a small village in the Dutch province of Utrecht, situated near the city of Utrecht and administratively part of the municipality of De Bilt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Groenekan
Target entity description: Groenekan is a small village in the Dutch province of Utrecht, situated near the city of Utrecht and administratively part of the municipality of De Bilt.
  • A. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • B. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • C. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • D. Kortenaer
    Kortenaer is a Dutch surname most notably associated with the 17th-century admiral Egbert Bartholomeusz Kortenaer.
  • E. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f2c645481909c3e5ecdd239965d completed May 3, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f75f8e9b608190830ab942098a798c completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:45 p.m.