Triple
T16221314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JTEKT Corporation |
E393729
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | TOYODA |
E1065718
|
NE FINISHED |
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: TOYODA | Statement: [JTEKT Corporation, hasBrand, TOYODA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOYODA Context triple: [JTEKT Corporation, hasBrand, TOYODA]
-
A.
Toyoda
chosen
Toyoda is a prominent Japanese surname most famously associated with the founding family of the Toyota Motor Corporation.
-
B.
Toyo
Toyo is a neighborhood and administrative district located within Kōtō Ward in Tokyo, Japan.
-
C.
Toyoda Shokai
Toyoda Shokai was an early business venture established by Japanese inventor and industrialist Sakichi Toyoda, which helped lay the foundations for what would become the Toyota group of companies.
-
D.
Toyoda Gosei Co., Ltd.
Toyoda Gosei Co., Ltd. is a Japanese automotive parts manufacturer known for producing rubber and plastic components, safety systems, and LEDs, and is closely affiliated with the Toyota Group.
-
E.
Toyone
Toyone is a small rural village in Japan known for its mountainous terrain and forests, located within Aichi Prefecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fbd88081909fac3f075d5ea7f4 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007987cd881908ebc01141028c0a5 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.