Triple

T5479639
Position Surface form Disambiguated ID Type / Status
Subject Release 99 E123438 entity
Predicate alsoKnownAs P39 FINISHED
Object R99
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
 E522243 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: R99 | Statement: [Release 99, alsoKnownAs, R99]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R99
Context triple: [Release 99, alsoKnownAs, R99]
  • A. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • B. R29
    R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
  • C. R68
    The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
  • D. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • E. R129
    R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
  • 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: R99
Triple: [Release 99, alsoKnownAs, R99]
Generated description
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R99
Target entity description: R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • A. R91
    R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
  • B. R29
    R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
  • C. R68
    The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
  • D. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • E. R129
    R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9248ca348190aa116cace0f9b07a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a001c081909b0e9f1b36fd10db completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf496861f08190aca539510ddfebbc completed March 22, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf49c564188190b4b3a40ee09b0461 completed March 22, 2026, 1:45 a.m.
Created at: March 20, 2026, 2:09 p.m.