Triple
T26461699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 Austrian Grand Prix |
E665655
|
entity |
| Predicate | raceNumberInHistory |
P160771
|
FINISHED |
| Object | 1017 |
—
|
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: 1017 | Statement: [2020 Austrian Grand Prix, raceNumberInHistory, 1017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceNumberInHistory Context triple: [2020 Austrian Grand Prix, raceNumberInHistory, 1017]
-
A.
numberOfRaces
Indicates the total count of races associated with a given entity or event.
-
B.
raceStatusHistory
Indicates the recorded sequence of status changes or states that a race has undergone over time.
-
C.
raceRecord
Indicates that there exists a recorded result or performance entry for an entity participating in a race or competitive event.
-
D.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
E.
raceNumberAtTrack
Indicates the specific ordinal number assigned to a race within the sequence of races held at a particular track.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612956424819083b0e451342a5811 |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 27, 2026, 12:13 a.m.