Triple

T28107453
Position Surface form Disambiguated ID Type / Status
Subject Hanoi Street Circuit layout (Vietnam Grand Prix) E710400 entity
Predicate safetyStandardTarget P136038 FINISHED
Object FIA Grade 1 NE NERFINISHED

How this triple was built (2 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 Grade 1 | Statement: [Hanoi Street Circuit layout (Vietnam Grand Prix), safetyStandardTarget, FIA Grade 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyStandardTarget
Context triple: [Hanoi Street Circuit layout (Vietnam Grand Prix), safetyStandardTarget, FIA Grade 1]
  • A. safetyStandardsSimilarTo
    Indicates that two entities have safety standards that are comparable or closely aligned in their requirements or rigor.
  • B. standardsUsedIn chosen
    Indicates that certain standards are applied, referenced, or followed within a particular context, process, or entity.
  • C. safetyGoal
    Indicates that an entity is associated with a specific safety objective or target condition intended to prevent harm or reduce risk.
  • D. safetyPrograms
    Indicates that there are organized measures, policies, or initiatives implemented to protect people or assets from harm or risk.
  • E. regulatoryStandard
    Indicates that one entity serves as an official rule, guideline, or benchmark that governs, constrains, or evaluates the behavior, quality, or performance of another entity.
  • F. None of above.

Provenance (3 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_69ef9b71fdb081908b4a61cd7ff147c1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 27, 2026, 9:09 p.m.