Triple
T14375396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AutoScout24 GmbH |
E356460
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Scout24 AG |
E356458
|
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: Scout24 AG | Statement: [AutoScout24 GmbH, brandOf, Scout24 AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scout24 AG Context triple: [AutoScout24 GmbH, brandOf, Scout24 AG]
-
A.
Scout24 AG
chosen
Scout24 AG is a German digital company best known for operating leading online marketplaces for real estate and related services.
-
B.
Scout24
Scout24 is a leading European digital classifieds company best known for operating major online platforms for real estate and automotive listings.
-
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.
Sogeti
Sogeti is a professional services and technology consulting company specializing in IT and engineering solutions, operating as a subsidiary of Capgemini.
-
E.
Argotec
Argotec is an Italian aerospace engineering company specializing in the design and development of small satellites and space systems for scientific and commercial missions.
- 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_69fd648135188190af86b1b2be2fe0e0 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:16 a.m.