Triple
T13381241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silverstone Circuit |
E319322
|
entity |
| Predicate | firstHostedBritishGrandPrix |
P109698
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [Silverstone Circuit, firstHostedBritishGrandPrix, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstHostedBritishGrandPrix Context triple: [Silverstone Circuit, firstHostedBritishGrandPrix, 1948]
-
A.
firstF1GrandPrixYear
Indicates the year in which a given Formula 1 Grand Prix was first held.
-
B.
firstTourDeFranceHeld
Indicates that the subject is the location or context in which the first Tour de France event was held.
-
C.
firstF1RaceInRegion
Indicates that a given Formula 1 race is the first F1 race ever held within a specified geographic region.
-
D.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
-
E.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
- F. None of above. chosen
Provenance (4 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:33 p.m.