Triple
T35751898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa Romeo 158 |
E1033339
|
entity |
| Predicate | firstWorldChampionshipRace |
P54565
|
FINISHED |
| Object | 1950 British Grand Prix |
E1034814
|
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: 1950 British Grand Prix | Statement: [Alfa Romeo 158, firstWorldChampionshipRace, 1950 British Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldChampionshipRace Context triple: [Alfa Romeo 158, firstWorldChampionshipRace, 1950 British Grand Prix]
-
A.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
B.
firstCupRace
Indicates the inaugural or earliest cup race event associated with the given entity or context.
-
C.
firstWorldCup
Indicates that the entity participated in or hosted its first World Cup tournament in relation to the associated event or year.
-
D.
firstFormulaOneGrandPrix
chosen
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
E.
firstF1Season
Indicates the Formula 1 season in which an entity (typically a driver or team) first competed.
- F. None of above.
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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3891585a2081908d594dc0e7a57fde |
completed | June 22, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.