Triple
T13290876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 Formula One season |
E316555
|
entity |
| Predicate | worldConstructorsChampionNationality |
P104081
|
FINISHED |
| Object | German |
—
|
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 | Statement: [2015 Formula One season, worldConstructorsChampionNationality, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldConstructorsChampionNationality Context triple: [2015 Formula One season, worldConstructorsChampionNationality, German]
-
A.
pairsChampionCountry
Indicates the country that the pairs champion represents or is associated with.
-
B.
championNationality
chosen
Indicates the country or nationality that a champion represents or is associated with.
-
C.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
-
D.
builderNationality
Indicates the country or national affiliation of the entity that built or constructed another entity.
-
E.
countryRepresentedBy
Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.