Triple

T304369
Position Surface form Disambiguated ID Type / Status
Subject Haarlemmermeer E6265 entity
Predicate contains P35 FINISHED
Object Rijsenhout
Rijsenhout is a village in the Dutch province of North Holland, situated near the Westeinderplassen and close to Schiphol Airport.
E78416 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: Rijsenhout | Statement: [Haarlemmermeer, contains, Rijsenhout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rijsenhout
Context triple: [Haarlemmermeer, contains, Rijsenhout]
  • A. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • B. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • C. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • D. Aarle-Rixtel
    Aarle-Rixtel is a village in the Dutch province of North Brabant, known for its historic church and traditional bell-founding industry.
  • E. Vijfhuizen
    Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
  • 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: Rijsenhout
Triple: [Haarlemmermeer, contains, Rijsenhout]
Generated description
Rijsenhout is a village in the Dutch province of North Holland, situated near the Westeinderplassen and close to Schiphol Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rijsenhout
Target entity description: Rijsenhout is a village in the Dutch province of North Holland, situated near the Westeinderplassen and close to Schiphol Airport.
  • A. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • B. Beinsdorp chosen
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • C. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • D. Aarle-Rixtel
    Aarle-Rixtel is a village in the Dutch province of North Brabant, known for its historic church and traditional bell-founding industry.
  • E. Vijfhuizen
    Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
  • F. None of above.

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_69a5692e9f248190945be16aac260038 completed March 2, 2026, 10:40 a.m.
NEDg Description generation batch_69a56ae958f481909b097848ef1d9b5d completed March 2, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_69a56b86d684819080c398847af0551b completed March 2, 2026, 10:50 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.