Triple
T10084962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Škoda Kodiaq |
E215195
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Škoda |
E39971
|
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: Škoda | Statement: [Škoda Kodiaq, brand, Škoda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Škoda Context triple: [Škoda Kodiaq, brand, Škoda]
-
A.
Škoda
chosen
Škoda is a Czech automobile manufacturer known for producing practical, affordable cars and operating as a subsidiary brand within the Volkswagen Group.
-
B.
Škoda Scala
The Škoda Scala is a compact hatchback introduced by the Czech automaker Škoda Auto, positioned between the Fabia and Octavia and known for its practicality, spacious interior, and modern technology features.
-
C.
Škoda Electric
Škoda Electric is a Czech manufacturer specializing in electric public transport vehicles and equipment, particularly trolleybuses and related traction systems.
-
D.
Škoda Varsovia
Škoda Varsovia is a type of modern metro train built by Škoda for use on the Warsaw Metro system.
-
E.
Škoda Auto Laurin & Klement trim line
The Škoda Auto Laurin & Klement trim line is a top-tier luxury specification for Škoda vehicles, named in honor of the brand’s founding partners and emphasizing premium materials, comfort, and exclusive design features.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd044c1ec8190b5b48cdb0584d00c |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbd822a08190841e51862e5e1e27 |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 9 p.m.