Triple

T29034243
Position Surface form Disambiguated ID Type / Status
Subject Antonio Giovinazzi E737808 entity
Predicate LeMansCar P167394 FINISHED
Object Ferrari 499P
The Ferrari 499P is a modern Le Mans Hypercar prototype developed by Scuderia Ferrari for top-level endurance racing, marking the brand’s return to the premier class at the 24 Hours of Le Mans.
 E1846496 NE FINISHED

How this triple was built (3 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: Ferrari 499P | Statement: [Antonio Giovinazzi, LeMansCar, Ferrari 499P]
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: Ferrari 499P
Triple: [Antonio Giovinazzi, LeMansCar, Ferrari 499P]
Generated description
The Ferrari 499P is a modern Le Mans Hypercar prototype developed by Scuderia Ferrari for top-level endurance racing, marking the brand’s return to the premier class at the 24 Hours of Le Mans.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: LeMansCar
Context triple: [Antonio Giovinazzi, LeMansCar, Ferrari 499P]
  • A. رمز لوحة المركبات
    Indicates a relationship where a specific code or identifier is assigned to a vehicle’s license plate.
  • B. hasFictionalVehicle
    Indicates that one entity possesses, controls, or is associated with a vehicle that exists only in a fictional or imaginary context.
  • C. controlVehicle
    Indicates having the authority or ability to direct, operate, or manage the movement and functioning of a vehicle.
  • D. vehicleBase
    Indicates that one entity serves as the foundational or underlying base for a vehicle-related entity or system.
  • E. spinningCars
    Indicates that one or more cars are rotating or spinning, rather than moving straightforwardly.
  • F. None of above. chosen

Provenance (7 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_69f077ef00fc81909325f084ad37c035 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f66a6468ec8190a43ed6cd8c797f42 completed May 2, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505d9c09c81908bf3d87590cbdc3d completed June 7, 2026, 5:47 a.m.
NEDg Description generation batch_6a250af483c08190b831fed9367c84c0 completed June 7, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a250f52bc788190a19327674f832883 completed June 7, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
PDg Predicate description generation batch_69f6691da93081909deaf680614fc900 completed May 2, 2026, 9:14 p.m.
Created at: April 28, 2026, 9:57 a.m.