Triple
T21705112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GasGas |
E535752
|
entity |
| Predicate | brandOwner |
P347
|
FINISHED |
| Object | Pierer Mobility AG |
—
|
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: Pierer Mobility AG | Statement: [GasGas, brandOwner, Pierer Mobility AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierer Mobility AG Context triple: [GasGas, brandOwner, Pierer Mobility AG]
-
A.
Pierer Mobility AG
chosen
Pierer Mobility AG is an Austrian automotive group best known as the owner of motorcycle brands such as KTM, Husqvarna, and GasGas.
-
B.
Siemens–Duewag
Siemens–Duewag was a German rolling stock manufacturer known for producing light rail vehicles and trams used in many cities worldwide.
-
C.
Vossloh
Vossloh is a German company specializing in rail technology and infrastructure, known for manufacturing locomotives, light rail vehicles, and railway components.
-
D.
Otto Group
Otto Group is a major German multinational retail and services conglomerate best known for its e-commerce, logistics, and mail-order businesses.
-
E.
Knorr-Bremse
Knorr-Bremse is a leading global manufacturer of braking systems and other safety-critical systems for rail and commercial vehicles.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52e4b84819095a24cc9fdca2b8a |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.