Triple
T3832196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda Super Cub |
E91038
|
entity |
| Predicate | marketedAs |
P1395
|
FINISHED |
| Object |
C90
C90 is a popular Honda Super Cub variant, a small-displacement, step-through commuter motorcycle renowned for its reliability and widespread use worldwide.
|
E392673
|
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: C90 | Statement: [Honda Super Cub, marketedAs, C90]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C90 Context triple: [Honda Super Cub, marketedAs, C90]
-
A.
C90
C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
-
B.
C-9
C-9 is a mountain railway line of Madrid’s Cercanías commuter rail network that connects the city with the Sierra de Guadarrama, including the Puerto de Navacerrada and Cotos areas.
-
C.
C09
C09 is the station code used by the Washington Metro to identify Pentagon City station on its rail network.
-
D.
C595
C595 is the designation for an ASTM standard specification covering blended hydraulic cements used in construction.
-
E.
K95
K95 is a ski jumping hill size classification indicating a normal hill with a K-point of 95 meters, commonly used in competitive ski jumping events.
- 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: C90 Triple: [Honda Super Cub, marketedAs, C90]
Generated description
C90 is a popular Honda Super Cub variant, a small-displacement, step-through commuter motorcycle renowned for its reliability and widespread use worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: C90 Target entity description: C90 is a popular Honda Super Cub variant, a small-displacement, step-through commuter motorcycle renowned for its reliability and widespread use worldwide.
-
A.
C90
C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
-
B.
C-9
C-9 is a mountain railway line of Madrid’s Cercanías commuter rail network that connects the city with the Sierra de Guadarrama, including the Puerto de Navacerrada and Cotos areas.
-
C.
C09
C09 is the station code used by the Washington Metro to identify Pentagon City station on its rail network.
-
D.
C595
C595 is the designation for an ASTM standard specification covering blended hydraulic cements used in construction.
-
E.
K95
K95 is a ski jumping hill size classification indicating a normal hill with a K-point of 95 meters, commonly used in competitive ski jumping events.
- 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.