Triple

T24832979

Position	Surface form	Disambiguated ID	Type / Status
Subject	LMP3	`E621388`	entity
Predicate	eligibleDrivers	`P83633`	FINISHED
Object	FIA Silver drivers FIA Silver drivers are mid-ranked racing drivers classified by the Fédération Internationale de l’Automobile based on experience and achievements, typically including young professionals and accomplished amateurs.	`E1651517`	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: FIA Silver drivers | Statement: [LMP3, eligibleDrivers, FIA Silver drivers]

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: FIA Silver drivers
Triple: [LMP3, eligibleDrivers, FIA Silver drivers]

Generated description

FIA Silver drivers are mid-ranked racing drivers classified by the Fédération Internationale de l’Automobile based on experience and achievements, typically including young professionals and accomplished amateurs.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: eligibleDrivers
Context triple: [LMP3, eligibleDrivers, FIA Silver drivers]

A. allowsCupDrivers
Indicates that one entity grants permission or authorization for Cup drivers to participate in or make use of another entity.
B. eligiblePersons chosen
Indicates that certain persons meet the required conditions or criteria to qualify for a particular status, benefit, or participation.
C. hasAIDrivers
Indicates that an entity possesses or is equipped with AI-based drivers that control or operate it.
D. eligibleFrom
Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
E. driverRequirement
Indicates that a certain driver, qualification, or driving-related condition is required for an entity to perform or be associated with a particular role, task, or operation.
F. None of above.

Provenance (6 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_69e2fac0c3b881909110e5a56c6fa46f`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f497bc12b881908fe3386c66252bf6`	completed	May 1, 2026, 12:08 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a101c481e548190b8cd8c27bde23ecb`	completed	May 22, 2026, 9:05 a.m.
NEDg	Description generation	`batch_6a10261573088190b225fcc6ca7bd578`	completed	May 22, 2026, 9:47 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10268e1cb88190b5b4a63a950e1509`	completed	May 22, 2026, 9:49 a.m.
PD	Predicate disambiguation	`batch_69f49366e8d08190adb4b71fe3a14683`	completed	May 1, 2026, 11:49 a.m.

Created at: April 18, 2026, 5:16 a.m.