Triple
T18156239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circuit de Monaco |
E434637
|
entity |
| Predicate | firstUsedForGrandPrix |
P102108
|
FINISHED |
| Object | 1929 |
—
|
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: 1929 | Statement: [Circuit de Monaco, firstUsedForGrandPrix, 1929]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedForGrandPrix Context triple: [Circuit de Monaco, firstUsedForGrandPrix, 1929]
-
A.
grandPrixDebutYear
Indicates the year in which an entity first participated in a Grand Prix event.
-
B.
firstF1GrandPrixYear
chosen
Indicates the year in which a given Formula 1 Grand Prix was first held.
-
C.
firstRaceAtCircuit
Indicates that the referenced race is the first race ever held at the specified circuit.
-
D.
firstUsedInTourDeFrance
Indicates that something (such as equipment, technology, or a practice) was used for the first time during a specific edition of the Tour de France.
-
E.
firstF1Season
Indicates the Formula 1 season in which an entity (typically a driver or team) first competed.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debe27a88190bd76c6f78fcf1bd1 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.