Triple
T16181777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Yaris |
E392698
|
entity |
| Predicate | soldAs |
P17320
|
FINISHED |
| Object |
Toyota Belta
The Toyota Belta is a subcompact sedan produced by Toyota, closely related to the Yaris and marketed in various regions under different nameplates.
|
E1199051
|
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: Toyota Belta | Statement: [Toyota Yaris, soldAs, Toyota Belta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyota Belta Context triple: [Toyota Yaris, soldAs, Toyota Belta]
-
A.
Toyota Kluger
The Toyota Kluger is a mid-size crossover SUV produced by Toyota, marketed in various regions as a comfortable, family-oriented vehicle with three-row seating.
-
B.
Toyota BJ
The Toyota BJ was an early postwar Japanese four-wheel-drive utility vehicle that served as the direct predecessor to the famed Toyota Land Cruiser series.
-
C.
Toyo
Toyo is a neighborhood and administrative district located within Kōtō Ward in Tokyo, Japan.
-
D.
Toyota Noah
The Toyota Noah is a compact multi-purpose minivan primarily sold in Japan, known for its spacious three-row interior and family-oriented practicality.
-
E.
Toyoda
Toyoda is a prominent Japanese surname most famously associated with the founding family of the Toyota Motor Corporation.
- 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: Toyota Belta Triple: [Toyota Yaris, soldAs, Toyota Belta]
Generated description
The Toyota Belta is a subcompact sedan produced by Toyota, closely related to the Yaris and marketed in various regions under different nameplates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toyota Belta Target entity description: The Toyota Belta is a subcompact sedan produced by Toyota, closely related to the Yaris and marketed in various regions under different nameplates.
-
A.
Toyota Kluger
The Toyota Kluger is a mid-size crossover SUV produced by Toyota, marketed in various regions as a comfortable, family-oriented vehicle with three-row seating.
-
B.
Toyota BJ
The Toyota BJ was an early postwar Japanese four-wheel-drive utility vehicle that served as the direct predecessor to the famed Toyota Land Cruiser series.
-
C.
Toyo
Toyo is a neighborhood and administrative district located within Kōtō Ward in Tokyo, Japan.
-
D.
Toyota Noah
The Toyota Noah is a compact multi-purpose minivan primarily sold in Japan, known for its spacious three-row interior and family-oriented practicality.
-
E.
Toyoda
Toyoda is a prominent Japanese surname most famously associated with the founding family of the Toyota Motor Corporation.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205d858c8190802d44e08e3cdcd6 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a000170f87481909fbfb2104e6b0403 |
completed | May 10, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0001d5018481908e84a33e4a797f95 |
completed | May 10, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:02 a.m.