Triple
T3429644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scout24 |
E72305
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | AutoScout24 |
E356456
|
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 | Statement: [Scout24, brand, AutoScout24]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AutoScout24 Context triple: [Scout24, brand, AutoScout24]
-
A.
AutoScout24
chosen
AutoScout24 is a major European online marketplace specializing in buying and selling new and used cars.
-
B.
AutoScout24 GmbH
AutoScout24 GmbH is a major European online marketplace specializing in the listing and trading of new and used vehicles.
-
C.
Berlina
Berlina is a higher-spec trim level of the Holden Commodore, offering upgraded comfort and features over the base model.
-
D.
easyCar
easyCar is a car rental company within the easyGroup family of low-cost travel and service brands.
-
E.
Werkstatt Deutschland
Werkstatt Deutschland is a German organization best known for organizing and presenting the international Quadriga award honoring individuals for their commitment to innovation, renewal, and a forward-looking society.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9854ca081909e637adcac46a27c |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360c789b48190807bddf1a3bf8d2e |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:15 p.m.