Triple
T7262121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Premier League |
E159679
|
entity |
| Predicate | homeAndAwayMatchesPerSeason |
P27340
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Russian Premier League, homeAndAwayMatchesPerSeason, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeAndAwayMatchesPerSeason Context triple: [Russian Premier League, homeAndAwayMatchesPerSeason, 30]
-
A.
homeAndAwayMatchesPerTeam
chosen
Indicates that each team plays a specified number of matches both at their home venue and at their opponent’s venue.
-
B.
totalMatchesPerSeason
Indicates the total number of matches associated with an entity within a single season.
-
C.
AFLSeasons
Indicates the association between the Australian Football League and its individual seasons, linking the league to each specific season instance.
-
D.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
E.
homeLeagueSeasonStart
Indicates the league season in which an entity begins playing its home games.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:57 p.m.