Triple
T37400984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1958 German Grand Prix |
E928994
|
entity |
| Predicate | seasonNumberInChampionship |
P194836
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [1958 German Grand Prix, seasonNumberInChampionship, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonNumberInChampionship Context triple: [1958 German Grand Prix, seasonNumberInChampionship, 9]
-
A.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
B.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
C.
seasonNumberInClassicSeries
Indicates the specific season number that an installment occupies within the classic/original run of a series.
-
D.
seasonNumberInCurrentFormat
Indicates the season number assigned to something according to the current numbering or formatting scheme.
-
E.
franchiseSeasonNumber
Indicates the specific season number assigned to an installment within a larger franchise series.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
| PDg | Predicate description generation | batch_69fd884b9d908190833de9500ff6d62a |
completed | May 8, 2026, 6:52 a.m. |
Created at: May 3, 2026, 4:16 p.m.