Triple
T18588885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takara Tomy |
E454306
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tomica brand |
—
|
NE NERFINISHED |
How this triple was built (2 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 brand | Statement: [Takara Tomy, notableWork, Tomica brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomica brand Context triple: [Takara Tomy, notableWork, Tomica brand]
-
A.
Tomica die-cast toy vehicles
chosen
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.
-
B.
Takara Tomy
Takara Tomy is a Japanese toy and entertainment company best known internationally for creating and producing the Transformers franchise and other popular toy lines.
-
C.
Totota
Totota is a town located in Bong County in central Liberia.
-
D.
Tamiya
Tamiya is a city in Egypt’s Faiyum Governorate, known primarily as a local agricultural and administrative center in the Faiyum region.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 11:44 a.m.