Triple
T10649394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brembo |
E250921
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Brembo Japan |
E250921
|
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: Brembo Japan | Statement: [Brembo, hasSubsidiary, Brembo Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brembo Japan Context triple: [Brembo, hasSubsidiary, Brembo Japan]
-
A.
Brembo
Brembo is a river in northern Italy that flows through the Lombardy region before joining the Adda River.
-
B.
Brembo
chosen
Brembo is an Italian company renowned worldwide for designing and manufacturing high-performance braking systems for cars, motorcycles, and racing vehicles.
-
C.
Shoei Kisen Kaisha
Shoei Kisen Kaisha is a Japanese ship leasing and management company best known internationally as the owner of the container ship Ever Given, which blocked the Suez Canal in 2021.
-
D.
Eibach
Eibach is a small stream in Switzerland that serves as a tributary of the Ergolz River.
-
E.
Eibach
Eibach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe3ea08819094a945ebb7fc4d3a |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988530f288190b8150d159f723a74 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:06 p.m.