Triple

T3832193
Position Surface form Disambiguated ID Type / Status
Subject Honda Super Cub E91038 entity
Predicate marketedAs P1395 FINISHED
Object C100
The C100 is the original model of Honda's iconic Super Cub series, a small, durable, step-through motorcycle that became one of the best-selling motor vehicles in history.
 E392670 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: C100 | Statement: [Honda Super Cub, marketedAs, C100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C100
Context triple: [Honda Super Cub, marketedAs, C100]
  • A. C-10
    C-10 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • B. C-1
    C-1 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • C. W100
    W100 is the internal Mercedes-Benz chassis code for the ultra-luxury 600 limousine series produced in the 1960s and 1970s.
  • D. SP100
    SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
  • E. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • 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: C100
Triple: [Honda Super Cub, marketedAs, C100]
Generated description
The C100 is the original model of Honda's iconic Super Cub series, a small, durable, step-through motorcycle that became one of the best-selling motor vehicles in history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: C100
Target entity description: The C100 is the original model of Honda's iconic Super Cub series, a small, durable, step-through motorcycle that became one of the best-selling motor vehicles in history.
  • A. C-10
    C-10 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • B. C-1
    C-1 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with its surrounding metropolitan areas.
  • C. W100
    W100 is the internal Mercedes-Benz chassis code for the ultra-luxury 600 limousine series produced in the 1960s and 1970s.
  • D. SP100
    SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
  • E. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • 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_69aeeb8787bc8190819a7af975b609df completed March 9, 2026, 3:47 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.