Triple

T15840593
Position Surface form Disambiguated ID Type / Status
Subject Lakeside Raceway E384090 entity
Predicate hasCorner P42380 FINISHED
Object Shell Corner
Shell Corner is a named turn on the Lakeside Raceway motorsport circuit, known as one of its defined corners for racing navigation and strategy.
 E1179737 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: Shell Corner | Statement: [Lakeside Raceway, hasCorner, Shell Corner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shell Corner
Context triple: [Lakeside Raceway, hasCorner, Shell Corner]
  • A. Mankas Corner
    Mankas Corner is a small unincorporated community and historic rural crossroads located in Solano County, California.
  • B. Union Corner
    Union Corner is a small unincorporated community located in Berkeley County, West Virginia.
  • C. Heller's Corner
    Heller's Corner is a historically significant location best known as the namesake site of the Battle of Heller's Corner.
  • D. Packard's Corner
    Packard's Corner is a major intersection and commercial hub in the Allston neighborhood of Boston, Massachusetts, known for its transit connections and student-oriented businesses.
  • E. Shaw’s Corner
    Shaw’s Corner is the former country home of playwright George Bernard Shaw, now preserved as a museum in Ayot St Lawrence, Hertfordshire.
  • 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: Shell Corner
Triple: [Lakeside Raceway, hasCorner, Shell Corner]
Generated description
Shell Corner is a named turn on the Lakeside Raceway motorsport circuit, known as one of its defined corners for racing navigation and strategy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shell Corner
Target entity description: Shell Corner is a named turn on the Lakeside Raceway motorsport circuit, known as one of its defined corners for racing navigation and strategy.
  • A. Mankas Corner
    Mankas Corner is a small unincorporated community and historic rural crossroads located in Solano County, California.
  • B. Union Corner
    Union Corner is a small unincorporated community located in Berkeley County, West Virginia.
  • C. Heller's Corner
    Heller's Corner is a historically significant location best known as the namesake site of the Battle of Heller's Corner.
  • D. Packard's Corner
    Packard's Corner is a major intersection and commercial hub in the Allston neighborhood of Boston, Massachusetts, known for its transit connections and student-oriented businesses.
  • E. Shaw’s Corner
    Shaw’s Corner is the former country home of playwright George Bernard Shaw, now preserved as a museum in Ayot St Lawrence, Hertfordshire.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.