Triple
T16067451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisin Corporation |
E389767
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
AISIN
AISIN is a global automotive parts brand known for manufacturing high-quality components such as transmissions, brakes, and engine-related systems for major vehicle manufacturers.
|
E1193301
|
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: AISIN | Statement: [Aisin Corporation, hasBrand, AISIN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AISIN Context triple: [Aisin Corporation, hasBrand, AISIN]
-
A.
Aisai
Aisai is a city in central Japan known for its agricultural landscape and location within Aichi Prefecture near the Nagoya metropolitan area.
-
B.
Ais
The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
-
C.
Aoto
Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
-
D.
Toyo
Toyo is a neighborhood and administrative district located within Kōtō Ward in Tokyo, Japan.
-
E.
Ebara
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
- 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: AISIN Triple: [Aisin Corporation, hasBrand, AISIN]
Generated description
AISIN is a global automotive parts brand known for manufacturing high-quality components such as transmissions, brakes, and engine-related systems for major vehicle manufacturers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AISIN Target entity description: AISIN is a global automotive parts brand known for manufacturing high-quality components such as transmissions, brakes, and engine-related systems for major vehicle manufacturers.
-
A.
Aisai
Aisai is a city in central Japan known for its agricultural landscape and location within Aichi Prefecture near the Nagoya metropolitan area.
-
B.
Ais
The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
-
C.
Aoto
Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
-
D.
Toyo
Toyo is a neighborhood and administrative district located within Kōtō Ward in Tokyo, Japan.
-
E.
Ebara
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183baf29481908e5c66879e125363 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe480d59c8190962ac596a872b5e0 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe6ee34788190942ef1d3bb805f78 |
completed | May 10, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe7d127848190bbd79a8b94a49f93 |
completed | May 10, 2026, 2:05 a.m. |
Created at: April 10, 2026, 4:57 a.m.