Triple

T3832107
Position Surface form Disambiguated ID Type / Status
Subject Acura E91036 entity
Predicate performanceSubBrand P52250 FINISHED
Object A-Spec
A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
 E392666 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: A-Spec | Statement: [Acura, performanceSubBrand, A-Spec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A-Spec
Context triple: [Acura, performanceSubBrand, A-Spec]
  • A. Spektr
    Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
  • B. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • C. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • D. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • E. A's
    A's is the common nickname for the Philadelphia Athletics, a historic Major League Baseball franchise.
  • 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: A-Spec
Triple: [Acura, performanceSubBrand, A-Spec]
Generated description
A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A-Spec
Target entity description: A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
  • A. Spektr
    Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
  • B. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • C. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • D. Sceptre
    Sceptre is a literary imprint known for publishing high-quality contemporary fiction and non-fiction, often with a focus on distinctive, award-winning voices.
  • E. A's
    A's is the common nickname for the Philadelphia Athletics, a historic Major League Baseball franchise.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef90ce3088190b82e8421ce9a4005 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503fcddb481909690b708754d3d8a completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b5057089e88190b3c5b85503b3f8fa completed March 14, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_69b505ec14b481909b71e66d68473c20 completed March 14, 2026, 6:53 a.m.
Created at: March 9, 2026, 3:17 p.m.