Triple

T5898756
Position Surface form Disambiguated ID Type / Status
Subject Peugeot Expert E131166 entity
Predicate electricVariant P12594 FINISHED
Object e-Expert
The e-Expert is Peugeot’s fully electric version of its Expert light commercial van, designed for zero-emission urban and regional cargo transport.
 E554602 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: e-Expert | Statement: [Peugeot Expert, electricVariant, e-Expert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: e-Expert
Context triple: [Peugeot Expert, electricVariant, e-Expert]
  • A. E-Pro
    "E-Pro" is a 2005 alternative rock single by American musician Beck, known for its catchy riff, energetic style, and success on modern rock charts.
  • B. ES-EX
    ES-EX is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Extremadura within Spain.
  • C. Expa
    Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
  • D. E&C
    E&C is the commonly used abbreviation for Enforcement and Compliance, typically referring to functions or departments responsible for ensuring adherence to laws, regulations, and internal policies.
  • E. EXPN
    EXPN is the stock ticker symbol for Experian plc, a global information services company specializing in credit reporting and data analytics.
  • 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: e-Expert
Triple: [Peugeot Expert, electricVariant, e-Expert]
Generated description
The e-Expert is Peugeot’s fully electric version of its Expert light commercial van, designed for zero-emission urban and regional cargo transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: e-Expert
Target entity description: The e-Expert is Peugeot’s fully electric version of its Expert light commercial van, designed for zero-emission urban and regional cargo transport.
  • A. E-Pro
    "E-Pro" is a 2005 alternative rock single by American musician Beck, known for its catchy riff, energetic style, and success on modern rock charts.
  • B. ES-EX
    ES-EX is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Extremadura within Spain.
  • C. Expa
    Expa is a startup studio and venture firm created by entrepreneur Garrett Camp to build and support early-stage technology companies.
  • D. E&C
    E&C is the commonly used abbreviation for Enforcement and Compliance, typically referring to functions or departments responsible for ensuring adherence to laws, regulations, and internal policies.
  • E. EXPN
    EXPN is the stock ticker symbol for Experian plc, a global information services company specializing in credit reporting and data analytics.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f7b3f48190a499d43f8ffb2fa7 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b15df86481908b59717b9de63655 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b27438a08190ab6b72c8fd682bf6 completed March 23, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c0b309a70081908ad3e819879b17e4 completed March 23, 2026, 3:27 a.m.
Created at: March 22, 2026, 3:58 p.m.