Triple
T3798781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota Vikings–Green Bay Packers rivalry |
E91636
|
entity |
| Predicate | seasonSeriesPlayedPerYear |
P51823
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Minnesota Vikings–Green Bay Packers rivalry, seasonSeriesPlayedPerYear, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonSeriesPlayedPerYear Context triple: [Minnesota Vikings–Green Bay Packers rivalry, seasonSeriesPlayedPerYear, 2]
-
A.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
B.
playsSeasonSeries
Indicates that an entity participates as a competitor or team in a particular season of a series or league.
-
C.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
D.
seasonSequence
Indicates the ordered succession relationship between seasons, specifying which season follows or precedes another in a temporal sequence.
-
E.
totalMatchesPerSeason
Indicates the total number of matches associated with an entity within a single season.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:15 p.m.