Triple

T7038620
Position Surface form Disambiguated ID Type / Status
Subject Gooi E163449 entity
Predicate contains P35 FINISHED
Object Laren
Laren is a historic and affluent village in the Dutch province of North Holland, known for its art colony heritage and picturesque residential character.
 E636603 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: Laren | Statement: [Gooi, contains, Laren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laren
Context triple: [Gooi, contains, Laren]
  • A. Groveland
    Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
  • B. Fairlawn
    Fairlawn is a residential neighborhood and community within the city of Pawtucket in Providence County, Rhode Island.
  • C. Barrington
    Barrington is a small town located in Yates County in the Finger Lakes region of New York State.
  • D. Barrington
    Barrington is a small suburban borough located in Camden County, New Jersey, known primarily as a residential community within the Philadelphia metropolitan area.
  • E. Northwood
    Northwood is a suburban London Underground station in the London Borough of Hillingdon, providing commuter rail services on the Metropolitan line.
  • 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: Laren
Triple: [Gooi, contains, Laren]
Generated description
Laren is a historic and affluent village in the Dutch province of North Holland, known for its art colony heritage and picturesque residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laren
Target entity description: Laren is a historic and affluent village in the Dutch province of North Holland, known for its art colony heritage and picturesque residential character.
  • A. Groveland
    Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
  • B. Fairlawn
    Fairlawn is a residential neighborhood and community within the city of Pawtucket in Providence County, Rhode Island.
  • C. Barrington
    Barrington is a small town located in Yates County in the Finger Lakes region of New York State.
  • D. Barrington
    Barrington is a small suburban borough located in Camden County, New Jersey, known primarily as a residential community within the Philadelphia metropolitan area.
  • E. Northwood
    Northwood is a suburban London Underground station in the London Borough of Hillingdon, providing commuter rail services on the Metropolitan line.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e223077c819097992089fa83c563 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775ac21888190a1adcf86b49b345f completed March 28, 2026, 6:31 a.m.
NEDg Description generation batch_69c777f9b41881909566511e97725fde completed March 28, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69c778717e888190a0b2a5914d13cb71 completed March 28, 2026, 6:42 a.m.
Created at: March 27, 2026, 2:36 p.m.