Triple
T35880624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1939 Swiss Grand Prix |
E1037494
|
entity |
| Predicate | primaryCompetitorsNationality |
P192671
|
FINISHED |
| Object | German teams |
—
|
LITERAL 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: German teams | Statement: [1939 Swiss Grand Prix, primaryCompetitorsNationality, German teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCompetitorsNationality Context triple: [1939 Swiss Grand Prix, primaryCompetitorsNationality, German teams]
-
A.
mainCompetitorNation
chosen
Indicates that one nation is the primary rival or chief competing nation of another.
-
B.
primaryCompetitionCountry
Indicates the main country in which an entity primarily conducts or participates in competitive activities or markets.
-
C.
rivalryBetweenNationality2
Indicates a competitive or adversarial relationship existing between two different nationalities.
-
D.
primaryOpposingCountry
Indicates that one country is the main or principal adversary or opponent of another country in a conflict, rivalry, or opposition.
-
E.
rivalOf
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
- F. None of above.
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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.