Triple

T35164015
Position Surface form Disambiguated ID Type / Status
Subject F4 UAE E1015344 entity
Predicate regulationCategory P148432 FINISHED
Object FIA Formula 4
FIA Formula 4 is an entry-level, FIA-sanctioned single-seater racing category designed to bridge the gap between karting and higher formula series like Formula 3.
 E1625114 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 Formula 4 | Statement: [F4 UAE, regulationCategory, FIA Formula 4]
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 Formula 4
Triple: [F4 UAE, regulationCategory, FIA Formula 4]
Generated description
FIA Formula 4 is an entry-level, FIA-sanctioned single-seater racing category designed to bridge the gap between karting and higher formula series like Formula 3.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: regulationCategory
Context triple: [F4 UAE, regulationCategory, FIA Formula 4]
  • A. categoryForRegulation chosen
    Indicates that something is assigned to a specific regulatory category or classification for the purposes of applying rules or controls.
  • B. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • C. regulationAtIssue
    Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
  • D. regulatedIn
    Indicates that one entity’s activity, expression, or occurrence is controlled, influenced, or modulated by another entity within a specific context or system.
  • E. subjectToRegulation
    Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
  • 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_69f76ddbfde081908bffc91572368289 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd82ed2a4c81908bd7797fbd2e3d08 completed May 8, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37d96cd2088190833412d7704800bc completed June 21, 2026, 12:30 p.m.
NEDg Description generation batch_6a37da92f6b48190a937a9c04bd5d064 completed June 21, 2026, 12:35 p.m.
NED2 Entity disambiguation (via description) batch_6a37dbed7540819081bd95af5520b163 completed June 21, 2026, 12:41 p.m.
PD Predicate disambiguation batch_69fd814cc10481908e4f8123d35a5d0c completed May 8, 2026, 6:23 a.m.
Created at: May 3, 2026, 4:02 p.m.