Triple
T1886280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Škoda |
E39971
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Škoda Works |
E106754
|
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 Works | Statement: [Škoda, acquiredBy, Škoda Works]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Škoda Works Context triple: [Škoda, acquiredBy, Škoda Works]
-
A.
Škoda
Škoda is a Czech automobile manufacturer known for producing practical, affordable cars and operating as a subsidiary brand within the Volkswagen Group.
-
B.
Škoda Works industrial complex
chosen
The Škoda Works industrial complex is a historic heavy engineering and manufacturing site in Plzeň, Czech Republic, once one of Europe’s largest industrial enterprises.
-
C.
Renk AG
Renk AG is a German engineering company specializing in high-performance transmissions, gear units, and drive technology for military and industrial applications.
-
D.
BMW
BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
-
E.
GAZ Group
GAZ Group is a major Russian automotive manufacturer best known for producing commercial vehicles, trucks, and buses.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb12032c881909cd93e3601906f48 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf63863881908efd8010db14b8a8 |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.