Triple
T15843325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiago Monteiro |
E384150
|
entity |
| Predicate | WTCCPodiums |
P110544
|
FINISHED |
| Object | multiple podium finishes |
—
|
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: multiple podium finishes | Statement: [Tiago Monteiro, WTCCPodiums, multiple podium finishes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WTCCPodiums Context triple: [Tiago Monteiro, WTCCPodiums, multiple podium finishes]
-
A.
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.
-
B.
seasonPodiums
chosen
Indicates the set of podium (top-three) finishes an entity achieved over the course of a specific season.
-
C.
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.
-
D.
winnerLaps
Indicates that one participant completed more laps than another, thereby winning based on lap count.
-
E.
WorldCupPodiums
Indicates that an entity has achieved a top-three (podium) finish in a FIFA World Cup tournament.
- 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.