Triple
T15843313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiago Monteiro |
E384150
|
entity |
| Predicate | F1GrandsPrixEntered |
P120096
|
FINISHED |
| Object | 37 |
—
|
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: 37 | Statement: [Tiago Monteiro, F1GrandsPrixEntered, 37]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1GrandsPrixEntered Context triple: [Tiago Monteiro, F1GrandsPrixEntered, 37]
-
A.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
B.
GrandPrixTitle
Indicates that an entity has won a championship or overall title in a Grand Prix competition or series.
-
C.
homeGrandPrix
Indicates that a particular Grand Prix event is considered the home race for a given driver, team, or country.
-
D.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
-
E.
motorsportReturnFor
Indicates a relationship where something is received, gained, or obtained as a result of participation in or association with a motorsport activity or event.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007869ae481909473ee220a7ccdb5 |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:50 a.m.