Triple
T24435468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021–2022 Premier League |
E616112
|
entity |
| Predicate | hasNumberOfMatchdays |
P6413
|
FINISHED |
| Object | 38 |
—
|
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: 38 | Statement: [2021–2022 Premier League, hasNumberOfMatchdays, 38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMatchdays Context triple: [2021–2022 Premier League, hasNumberOfMatchdays, 38]
-
A.
monthPlayed
Indicates the month during which an activity, event, or game was played or took place.
-
B.
numberOfGamesScheduled
chosen
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
C.
hasPlayOffsFor
Indicates that an entity organizes or includes playoff competitions specifically for another entity (such as a league, season, or division).
-
D.
matchesPlayedIn
Indicates that a particular match was played in a specified location, event, or competition context.
-
E.
numberOfTestMatches
Indicates the total count of test matches associated with a given entity (such as a player, team, or series) in the relationship.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2978638888190aef3ab5fc8bf0ed4 |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:16 a.m.