Triple
T23197339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1979 Southeastern 500 |
E579907
|
entity |
| Predicate | yearInSeason |
P147171
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [1979 Southeastern 500, yearInSeason, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearInSeason Context triple: [1979 Southeastern 500, yearInSeason, 1979]
-
A.
yearOfSeason
chosen
Indicates the specific calendar year in which a particular season (of a series, competition, or event) takes place or is designated.
-
B.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
C.
perfectSeasonYear
Indicates the year in which an entity (such as a team or individual) completed a perfect, undefeated season.
-
D.
yearOfTelevisionSeason
Indicates the specific calendar year in which a given television season was originally released, aired, or is associated.
-
E.
yearType
Indicates the classification or category assigned to a specific year (e.g., academic, fiscal, calendar, leap).
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fdc0b8081909242fdc5cb1da517 |
completed | April 29, 2026, 4:58 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:06 p.m.