Triple
T8825580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurin & Klement |
E210005
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Slavia
Slavia is a historic bicycle and motorcycle brand originally produced by the Czech company Laurin & Klement, a predecessor of Škoda Auto.
|
E760782
|
NE FINISHED |
How this triple was built (4 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: Slavia | Statement: [Laurin & Klement, brand, Slavia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slavia Context triple: [Laurin & Klement, brand, Slavia]
-
A.
Slavia
Slavia is a historic Bulgarian sports club best known for its football team, PFC Slavia Sofia, one of the oldest and most successful in the country.
-
B.
Malacky
Malacky is a small town in western Slovakia known for its historical center and location near the capital, Bratislava.
-
C.
Česká Skalice
Česká Skalice is a small historic town in northeastern Bohemia in the Czech Republic, known for its cultural heritage and proximity to the Rozkoš Reservoir.
-
D.
Cocijo
Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
-
E.
Dukla
Dukla is a small historic town in southeastern Poland, near the Slovak border, known as a gateway through the Carpathian Mountains and for its role in regional trade and wartime history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Slavia Triple: [Laurin & Klement, brand, Slavia]
Generated description
Slavia is a historic bicycle and motorcycle brand originally produced by the Czech company Laurin & Klement, a predecessor of Škoda Auto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slavia Target entity description: Slavia is a historic bicycle and motorcycle brand originally produced by the Czech company Laurin & Klement, a predecessor of Škoda Auto.
-
A.
Slavia
Slavia is a historic Bulgarian sports club best known for its football team, PFC Slavia Sofia, one of the oldest and most successful in the country.
-
B.
Malacky
Malacky is a small town in western Slovakia known for its historical center and location near the capital, Bratislava.
-
C.
Česká Skalice
Česká Skalice is a small historic town in northeastern Bohemia in the Czech Republic, known for its cultural heritage and proximity to the Rozkoš Reservoir.
-
D.
Cocijo
Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
-
E.
Dukla
Dukla is a small historic town in southeastern Poland, near the Slovak border, known as a gateway through the Carpathian Mountains and for its role in regional trade and wartime history.
- F. None of above. chosen
Provenance (5 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc60332d208190972a8b03fbd760ee |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf894902588190adb60140c64561f6 |
completed | April 3, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69cf8a8c87dc81909d5c0d769341b17c |
completed | April 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8b79a0b48190a29491f5f8f81217 |
completed | April 3, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:46 p.m.