Triple

T304383
Position Surface form Disambiguated ID Type / Status
Subject Haarlemmermeer E6265 entity
Predicate borders P224 FINISHED
Object Velsen
Velsen is a municipality in the province of North Holland in the Netherlands, known for the port city of IJmuiden and its major steel industry.
 E83948 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: Velsen | Statement: [Haarlemmermeer, borders, Velsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Velsen
Context triple: [Haarlemmermeer, borders, Velsen]
  • A. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • B. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • C. Badhoevedorp
    Badhoevedorp is a village in North Holland, Netherlands, located just southwest of Amsterdam and known for its proximity to Schiphol Airport.
  • D. Aalsmeer
    Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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: Velsen
Triple: [Haarlemmermeer, borders, Velsen]
Generated description
Velsen is a municipality in the province of North Holland in the Netherlands, known for the port city of IJmuiden and its major steel industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Velsen
Target entity description: Velsen is a municipality in the province of North Holland in the Netherlands, known for the port city of IJmuiden and its major steel industry.
  • A. Bloemendaal
    Bloemendaal is a coastal municipality in North Holland, Netherlands, known for its beaches, dunes, and affluent residential areas.
  • B. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • C. Badhoevedorp
    Badhoevedorp is a village in North Holland, Netherlands, located just southwest of Amsterdam and known for its proximity to Schiphol Airport.
  • D. Aalsmeer
    Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
  • E. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea1032e48190864338e030d9dc92 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc8df9708190976967ad4e45a597 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5de11a0ac81909247a98bbc317cf7 completed March 2, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69a5febeeb908190a42d468edfe985ef completed March 2, 2026, 9:18 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.