Triple
T28549635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 Skate America |
E722844
|
entity |
| Predicate | grandPrixEventNumberInSeason |
P164626
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1997 Skate America, grandPrixEventNumberInSeason, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandPrixEventNumberInSeason Context triple: [1997 Skate America, grandPrixEventNumberInSeason, 1]
-
A.
grandPrixName
Indicates the official name assigned to a particular Grand Prix event.
-
B.
raceNumberInSeason
Indicates the ordinal position of a specific race within the sequence of races in a given season.
-
C.
F1Seasons
Indicates the seasons in which a given Formula 1 entity (such as a driver, team, or event) participated or was active.
-
D.
IndyCarSeriesChampionshipSeason
Indicates that a season is one in which the IndyCar Series championship competition takes place and a champion is determined.
-
E.
F1GrandsPrixEntered
Indicates the number of Formula 1 Grand Prix events that an entity has officially entered.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6500f8ae48190b4f5bd98b505c037 |
completed | May 2, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 3:42 a.m.