Triple

T4083735
Position Surface form Disambiguated ID Type / Status
Subject Salisbury E87538 entity
Predicate hasLandmark P105 FINISHED
Object Greencroft Park
Greencroft Park is a public green space in Salisbury, England, known for its open lawns, mature trees, and community recreation areas.
 E417982 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: Greencroft Park | Statement: [Salisbury, hasLandmark, Greencroft Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greencroft Park
Context triple: [Salisbury, hasLandmark, Greencroft Park]
  • A. Ryewood Park
    Ryewood Park is a popular scenic garden and recreational green space in the hill station town of Lonavala in Maharashtra, India.
  • B. Wheatley Park
    Wheatley Park is a public recreational park located in the city of Inkster in Wayne County, Michigan.
  • C. Courtland Park
    Courtland Park is a public recreational park located in Reidsville, North Carolina.
  • D. Southwick Park
    Southwick Park is a British military establishment in Hampshire that serves as the headquarters and training centre for the Royal Military Police.
  • E. Harleman Park
    Harleman Park is a local public park in Cornelius, Oregon, offering outdoor recreational space for residents and visitors.
  • 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: Greencroft Park
Triple: [Salisbury, hasLandmark, Greencroft Park]
Generated description
Greencroft Park is a public green space in Salisbury, England, known for its open lawns, mature trees, and community recreation areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greencroft Park
Target entity description: Greencroft Park is a public green space in Salisbury, England, known for its open lawns, mature trees, and community recreation areas.
  • A. Ryewood Park
    Ryewood Park is a popular scenic garden and recreational green space in the hill station town of Lonavala in Maharashtra, India.
  • B. Wheatley Park
    Wheatley Park is a public recreational park located in the city of Inkster in Wayne County, Michigan.
  • C. Courtland Park
    Courtland Park is a public recreational park located in Reidsville, North Carolina.
  • D. Southwick Park
    Southwick Park is a British military establishment in Hampshire that serves as the headquarters and training centre for the Royal Military Police.
  • E. Harleman Park
    Harleman Park is a local public park in Cornelius, Oregon, offering outdoor recreational space for residents and visitors.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7933b481909bb3e02c6c04c8ee completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f1ad4248190a01da6cbf73603c2 completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b5830a8b448190928602912f3ecbd2 completed March 14, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5836543848190abbf31c04804358d completed March 14, 2026, 3:48 p.m.
Created at: March 9, 2026, 3:39 p.m.