Triple
T37415373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Amon |
E929689
|
entity |
| Predicate | F1WorldDriversChampionshipBestFinish |
P99787
|
FINISHED |
| Object | 4th place |
—
|
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: 4th place | Statement: [Chris Amon, F1WorldDriversChampionshipBestFinish, 4th place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1WorldDriversChampionshipBestFinish Context triple: [Chris Amon, F1WorldDriversChampionshipBestFinish, 4th place]
-
A.
F1Points
Indicates that an entity has earned or is associated with a specific number of Formula 1 championship points.
-
B.
f1CareerEndYear
Indicates the year in which an individual's professional career in a given field or role came to an end.
-
C.
driversChampionFastestLaps
Indicates that the driver won the championship and also recorded the highest number of fastest laps.
-
D.
worldDriversChampionNationality
Indicates the nationality associated with a given world drivers champion.
-
E.
bestFormulaOneChampionshipPosition
chosen
Indicates the highest (best) finishing position an entity has ever achieved in a Formula One World Championship season.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.