Triple

T22927773
Position Surface form Disambiguated ID Type / Status
Subject City of Salisbury E569354 entity
Predicate hasPark P105 FINISHED
Object City Park
City Park is a public recreational park located in Salisbury, offering green space, walking areas, and outdoor amenities for residents and visitors.
E173393 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: City Park | Statement: [City of Salisbury, hasPark, City Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Park
Context triple: [City of Salisbury, hasPark, City Park]
  • A. City Park
    City Park was the original name of Balboa Park, a large historic urban cultural park in San Diego, California.
  • B. City Park
    City Park is a popular historic public park in Fort Collins, Colorado, known for its large lake, open green spaces, and community recreation areas.
  • C. City Park
    City Park is a public recreational park located in the city of Benicia, California.
  • D. City Park
    City Park is one of Budapest’s largest and oldest public parks, known for its cultural attractions, historic monuments, and recreational spaces.
  • E. City Park
    City Park is a large historic urban park in New Orleans known for its live oak trees, recreational facilities, and cultural attractions.
  • 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: City Park
Triple: [City of Salisbury, hasPark, City Park]
Generated description
City Park is a public recreational park located in Salisbury, offering green space, walking areas, and outdoor amenities for residents and visitors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: City Park
Target entity description: City Park is a public recreational park located in Salisbury, offering green space, walking areas, and outdoor amenities for residents and visitors.
  • A. City Park chosen
    City Park is a public recreational park located in Salisbury, North Carolina, offering outdoor green space and amenities for community activities and leisure.
  • B. City Park
    City Park is a public recreational park in Burlington, North Carolina, known for its family-friendly amenities and outdoor activities.
  • C. City Park
    City Park is a public recreational park in Philomath, Oregon, offering green space and outdoor amenities for local residents and visitors.
  • D. City Park
    City Park is a historic public park in Launceston, Tasmania, known for its landscaped gardens, conservatory, and family-friendly recreational spaces.
  • E. City Park
    City Park is a central public green space and community gathering area located in Vergennes, Vermont.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180da10648190a67ba113fa8c1370 completed April 29, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca0e6c648190a8bf2d62c32e8313 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcaad8ba081908008b333976e5cfe completed May 19, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcb4df0308190824c0ad812daf361 completed May 19, 2026, 2:30 a.m.
Created at: April 17, 2026, 3:43 p.m.