Triple

T11866263
Position Surface form Disambiguated ID Type / Status
Subject Hendrikus Colijn E282291 entity
Predicate placeOfBirth P1 FINISHED
Object Burgerveen
Burgerveen is a small village in the Dutch province of North Holland, known as the birthplace of former Prime Minister Hendrikus Colijn.
E950940 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: Burgerveen | Statement: [Hendrikus Colijn, placeOfBirth, Burgerveen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burgerveen
Context triple: [Hendrikus Colijn, placeOfBirth, Burgerveen]
  • A. Gasselternijveen
    Gasselternijveen is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Aa en Hunze.
  • B. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • C. Aarlanderveen
    Aarlanderveen is a village in the Dutch province of South Holland, known for its polder landscape and traditional windmills.
  • D. Schoorl
    Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
  • E. Zandkreek
    Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
  • 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: Burgerveen
Triple: [Hendrikus Colijn, placeOfBirth, Burgerveen]
Generated description
Burgerveen is a small village in the Dutch province of North Holland, known as the birthplace of former Prime Minister Hendrikus Colijn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Burgerveen
Target entity description: Burgerveen is a small village in the Dutch province of North Holland, known as the birthplace of former Prime Minister Hendrikus Colijn.
  • A. Gasselternijveen
    Gasselternijveen is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Aa en Hunze.
  • B. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • C. Aarlanderveen
    Aarlanderveen is a village in the Dutch province of South Holland, known for its polder landscape and traditional windmills.
  • D. Schoorl
    Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
  • E. Zandkreek
    Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73a233081909449ab294d01a512 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2819229ec81908a3bc5579d661c20 completed April 29, 2026, 10:09 p.m.
NEDg Description generation batch_69f28a92ac90819092eef473a49d329e completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28c462d888190a43e042b00921dbe completed April 29, 2026, 10:55 p.m.
Created at: April 8, 2026, 9:43 p.m.