Triple

T13543063
Position Surface form Disambiguated ID Type / Status
Subject Kyalami Grand Prix Circuit E323438 entity
Predicate hasCorner P42380 FINISHED
Object Leeukop Bend
Leeukop Bend is a notable high-speed corner on the Kyalami Grand Prix Circuit in South Africa, challenging drivers with its sweeping radius and elevation changes.
E1046415 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: Leeukop Bend | Statement: [Kyalami Grand Prix Circuit, hasCorner, Leeukop Bend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leeukop Bend
Context triple: [Kyalami Grand Prix Circuit, hasCorner, Leeukop Bend]
  • A. Lewan
    Lewan is an archaeological site in Pakistan’s Bannu Basin known for evidence of ancient human settlement and cultural development.
  • B. Bulphan
    Bulphan is a small village and civil parish in the borough of Thurrock in Essex, England.
  • C. Bedloe
    Bedloe is a surname of English origin borne by various individuals, including those with the given name Isaac.
  • D. Waitabula
    Waitabula is a town in Indonesia that serves as the administrative and economic center of West Sumba Regency in East Nusa Tenggara.
  • E. Brenzett
    Brenzett is a small rural village in Kent, England, situated on the Romney Marsh and known for its historic church and former World War II airfield.
  • 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: Leeukop Bend
Triple: [Kyalami Grand Prix Circuit, hasCorner, Leeukop Bend]
Generated description
Leeukop Bend is a notable high-speed corner on the Kyalami Grand Prix Circuit in South Africa, challenging drivers with its sweeping radius and elevation changes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leeukop Bend
Target entity description: Leeukop Bend is a notable high-speed corner on the Kyalami Grand Prix Circuit in South Africa, challenging drivers with its sweeping radius and elevation changes.
  • A. Lewan
    Lewan is an archaeological site in Pakistan’s Bannu Basin known for evidence of ancient human settlement and cultural development.
  • B. Bulphan
    Bulphan is a small village and civil parish in the borough of Thurrock in Essex, England.
  • C. Bedloe
    Bedloe is a surname of English origin borne by various individuals, including those with the given name Isaac.
  • D. Waitabula
    Waitabula is a town in Indonesia that serves as the administrative and economic center of West Sumba Regency in East Nusa Tenggara.
  • E. Brenzett
    Brenzett is a small rural village in Kent, England, situated on the Romney Marsh and known for its historic church and former World War II airfield.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f2c645481909c3e5ecdd239965d completed May 3, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f75f8e9b608190830ab942098a798c completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:45 p.m.