Triple
T218151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier League |
E4152
|
entity |
| Predicate | totalMatchesPerSeason |
P8183
|
FINISHED |
| Object | 380 |
—
|
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: 380 | Statement: [Premier League, totalMatchesPerSeason, 380]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalMatchesPerSeason Context triple: [Premier League, totalMatchesPerSeason, 380]
-
A.
regularSeasonGamesPerTeam
Indicates the number of games each team plays during the regular season.
-
B.
minimumFootballGamesPerSeason
Indicates the minimum number of football games that must be played in a single season.
-
C.
competitionSeason
Indicates that an entity is associated with a particular competitive season or edition of a competition.
-
D.
playoffAppearances
Indicates the number of times an entity (such as a team or player) has qualified for and participated in postseason playoff competition.
-
E.
regularSeasonWeeks
Indicates the number of weeks that make up the regular season portion of a schedule or competition.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c5062e48190833be10e4770e1e9 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5357bc8190b29a48e3053fb76d |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.