Triple
T24194610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubens Barrichello |
E599796
|
entity |
| Predicate | yearOfBestChampionshipFinish |
P155129
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Rubens Barrichello, yearOfBestChampionshipFinish, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfBestChampionshipFinish Context triple: [Rubens Barrichello, yearOfBestChampionshipFinish, 2002]
-
A.
yearOfBestOpenFinish
Indicates the year in which an entity achieved its best (highest) finishing position in an Open tournament or championship.
-
B.
bestIndy500FinishYear
Indicates the year in which an entity achieved its best (highest) finishing position in the Indianapolis 500 race.
-
C.
bestCupSeasonFinishYear
Indicates the year in which an entity achieved its best (highest) finishing position in a cup competition season.
-
D.
championshipEndYear
Indicates the calendar year in which a particular championship or title-holding period concludes.
-
E.
bestLeagueFinish
Indicates the highest final position or ranking an entity has ever achieved in a particular league or competition.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24a139c8190a9eff2eafc11bf11 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:36 p.m.