Triple

T24365006
Position Surface form Disambiguated ID Type / Status
Subject Jules Bianchi E614169 entity
Predicate accidentEvent P20143 FINISHED
Object 2014 Japanese Grand Prix
The 2014 Japanese Grand Prix was a Formula One race at Suzuka Circuit that is widely remembered for the severe accident suffered by driver Jules Bianchi, which ultimately led to his fatal injuries.
 E1630833 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: 2014 Japanese Grand Prix | Statement: [Jules Bianchi, accidentEvent, 2014 Japanese Grand Prix]
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: 2014 Japanese Grand Prix
Triple: [Jules Bianchi, accidentEvent, 2014 Japanese Grand Prix]
Generated description
The 2014 Japanese Grand Prix was a Formula One race at Suzuka Circuit that is widely remembered for the severe accident suffered by driver Jules Bianchi, which ultimately led to his fatal injuries.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: accidentEvent
Context triple: [Jules Bianchi, accidentEvent, 2014 Japanese Grand Prix]
  • A. accident chosen
    Indicates an unintended, unforeseen event or mishap occurring, often resulting in damage, injury, or disruption.
  • B. accidentType
    Indicates the specific category or kind of accident associated with an event or incident.
  • C. resultOfAccident
    Indicates that something exists or occurs as a consequence or outcome of an accident.
  • D. causedAccident
    Indicates that one entity is responsible for bringing about or initiating an accident involving another entity or situation.
  • E. accidentOccurredDuring
    Indicates that an accident took place within the time span or context of a specified event, activity, or condition.
  • 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_69e2d7dfe7f08190b7a1f3a36483ab05 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293874f7c8190b472e99640e97f62 completed April 29, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd67166688190b705e329336d0afd completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd79af7dc81909b36001ba18566fa completed May 22, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd86469288190aa03fe497754bad3 completed May 22, 2026, 4:15 a.m.
PD Predicate disambiguation batch_69f287bb1b2c81909c2e7fcc392ad143 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:01 a.m.