Triple
T14375381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AutoScout24 GmbH |
E356460
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | AutoScout24 GmbH |
E356460
|
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: AutoScout24 GmbH | Statement: [AutoScout24 GmbH, name, AutoScout24 GmbH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AutoScout24 GmbH Context triple: [AutoScout24 GmbH, name, AutoScout24 GmbH]
-
A.
AutoScout24 GmbH
chosen
AutoScout24 GmbH is a major European online marketplace specializing in the listing and trading of new and used vehicles.
-
B.
AutoScout24
AutoScout24 is a major European online marketplace specializing in buying and selling new and used cars.
-
C.
Immobilien Scout GmbH
Immobilien Scout GmbH is a leading German online real estate marketplace platform, best known for its property listings and related services for buyers, renters, and sellers.
-
D.
Renk AG
Renk AG is a German engineering company specializing in high-performance transmissions, gear units, and drive technology for military and industrial applications.
-
E.
Ola Auto
Ola Auto is a ride-hailing service segment of Ola Cabs that connects passengers with auto-rickshaw drivers via the Ola mobile app.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900949fc81909be0da1734c46645 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5514688190be90776c8764d4f3 |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:16 a.m.