Triple

T16332064
Position Surface form Disambiguated ID Type / Status
Subject Mazda RX-7 E396578 entity
Predicate firstGenerationCode P17321 FINISHED
Object SA
SA is the internal chassis code designating the first generation of the Mazda RX-7 sports car.
E1207879 NE FINISHED

How this triple was built (4 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: SA | Statement: [Mazda RX-7, firstGenerationCode, SA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SA
Context triple: [Mazda RX-7, firstGenerationCode, SA]
  • A. SA
    SA is a UK postcode area covering Swansea and surrounding parts of South West Wales.
  • B. SA
    SA is the abbreviation for the Singapore Army, the land warfare branch of the Singapore Armed Forces responsible for the country's ground defense.
  • C. SA
    SA is the IATA airline code assigned to South African Airways, the flag carrier airline of South Africa.
  • D. SA
    The SA (Sturmabteilung) was the Nazi Party’s paramilitary organization known for its role in Adolf Hitler’s rise to power through intimidation, street violence, and mass rallies in early 20th-century Germany.
  • E. SA
    SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: SA
Triple: [Mazda RX-7, firstGenerationCode, SA]
Generated description
SA is the internal chassis code designating the first generation of the Mazda RX-7 sports car.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SA
Target entity description: SA is the internal chassis code designating the first generation of the Mazda RX-7 sports car.
  • A. SA
    SA is the two-letter ISO 3166-1 alpha-2 country code representing the Kingdom of Saudi Arabia.
  • B. SA
    SA is the abbreviation for the Singapore Army, the land warfare branch of the Singapore Armed Forces responsible for the country's ground defense.
  • C. SA
    SA is a key 3GPP technical specification group responsible for defining the overall system architecture and service capabilities of mobile telecommunications networks.
  • D. SA
    SA is the IATA airline code assigned to South African Airways, the flag carrier airline of South Africa.
  • E. SA
    SA is the standard abbreviation for South Australia, a state in the southern central part of Australia known for its wine regions, festivals, and coastal landscapes.
  • F. None of above. chosen

Provenance (5 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e0b1388190824b286e8452fb32 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002613c0e88190b91da8eba683c864 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0027854ce48190ad3fb09ecd7e2b9e completed May 10, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0029f138d88190bf240ca524d9ad0a completed May 10, 2026, 6:47 a.m.
Created at: April 10, 2026, 5:07 a.m.