Triple
T15843314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiago Monteiro |
E384150
|
entity |
| Predicate | F1GrandsPrixStarted |
P52122
|
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, F1GrandsPrixStarted, 37]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1GrandsPrixStarted Context triple: [Tiago Monteiro, F1GrandsPrixStarted, 37]
-
A.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
B.
homeGrandPrix
Indicates that a particular Grand Prix event is considered the home race for a given driver, team, or country.
-
C.
F1Status
Indicates the current competitive or operational standing of an entity within the context of Formula 1 (e.g., active, reserve, retired, or otherwise classified in F1).
-
D.
totalFormulaOneStarts
chosen
Indicates the total number of times an entity has started in Formula One races.
-
E.
hasGrandPrixStatus
Indicates that an event or competition holds official Grand Prix classification or status.
- 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_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. |
Created at: April 10, 2026, 4:50 a.m.