Triple
T19689777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Grand Prix |
E472803
|
entity |
| Predicate | oneOfOldestGrandsPrix |
P136933
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Italian Grand Prix, oneOfOldestGrandsPrix, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOldestGrandsPrix Context triple: [Italian Grand Prix, oneOfOldestGrandsPrix, true]
-
A.
grandPrixNumberInHistory
Indicates the ordinal position of a particular Grand Prix within the overall historical sequence of all Grand Prix events.
-
B.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
C.
firstF1GrandPrixYear
Indicates the year in which a given Formula 1 Grand Prix was first held.
-
D.
grandPrixDebutYear
Indicates the year in which an entity first participated in a Grand Prix event.
-
E.
hadGrandPrix
Indicates that a particular Grand Prix event took place as part of, or was hosted by, a given competition, season, or venue.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420f1a0c8190ae59aa0ab3ff2802 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:45 p.m.