Triple

T6253076
Position Surface form Disambiguated ID Type / Status
Subject Goodwood Circuit E140093 entity
Predicate hasCorner P42380 FINISHED
Object Lavant
Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
 E580095 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: Lavant | Statement: [Goodwood Circuit, hasCorner, Lavant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lavant
Context triple: [Goodwood Circuit, hasCorner, Lavant]
  • A. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • B. Viddalba
    Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • E. Torrenova
    Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
  • 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: Lavant
Triple: [Goodwood Circuit, hasCorner, Lavant]
Generated description
Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lavant
Target entity description: Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
  • A. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • B. Viddalba
    Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • E. Torrenova
    Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063417c8c8190945049881819d307 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2442a556081908b91e7d999a82514 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c4fb6ab25081909bce29ecee57cb42 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc5c18088190ba2ee0d182d7f3c2 completed March 26, 2026, 9:29 a.m.
Created at: March 22, 2026, 4:24 p.m.