Triple
T18588872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takara Tomy |
E454306
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Tomica die-cast toy vehicles
Tomica die-cast toy vehicles are a long-running Japanese line of highly detailed miniature cars and other vehicles popular with both children and collectors worldwide.
|
E1332565
|
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: Tomica die-cast toy vehicles | Statement: [Takara Tomy, product, Tomica die-cast toy vehicles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomica die-cast toy vehicles Context triple: [Takara Tomy, product, Tomica die-cast toy vehicles]
-
A.
Tonka
Tonka is a 1958 Walt Disney Western film about a young Sioux boy and his horse, set around the events of the Battle of the Little Bighorn.
-
B.
Carros
Carros is a commune in southeastern France situated in the Alpes-Maritimes department near Nice on the French Riviera.
-
C.
Totota
Totota is a town located in Bong County in central Liberia.
-
D.
Tec Toy
Tec Toy is a Brazilian electronics and video game company best known for localizing, manufacturing, and popularizing Sega consoles and games in Brazil.
-
E.
Tamiya
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
- 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: Tomica die-cast toy vehicles Triple: [Takara Tomy, product, Tomica die-cast toy vehicles]
Generated description
Tomica die-cast toy vehicles are a long-running Japanese line of highly detailed miniature cars and other vehicles popular with both children and collectors worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomica die-cast toy vehicles Target entity description: Tomica die-cast toy vehicles are a long-running Japanese line of highly detailed miniature cars and other vehicles popular with both children and collectors worldwide.
-
A.
Tonka
Tonka is a 1958 Walt Disney Western film about a young Sioux boy and his horse, set around the events of the Battle of the Little Bighorn.
-
B.
Carros
Carros is a commune in southeastern France situated in the Alpes-Maritimes department near Nice on the French Riviera.
-
C.
Totota
Totota is a town located in Bong County in central Liberia.
-
D.
Tec Toy
Tec Toy is a Brazilian electronics and video game company best known for localizing, manufacturing, and popularizing Sega consoles and games in Brazil.
-
E.
Tamiya
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f89678bc8190b8bc79694d75fd4b |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04fed4e1c4819088f99be7ee8ecd08 |
completed | May 13, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04ff9d97108190a34c4a8e347df711 |
completed | May 13, 2026, 10:47 p.m. |
Created at: April 10, 2026, 11:44 a.m.