Triple
T25755851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier League 2000–01 |
E648594
|
entity |
| Predicate | consecutiveTitlesForChampionClub |
P66338
|
FINISHED |
| Object | third consecutive title |
—
|
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: third consecutive title | Statement: [Premier League 2000–01, consecutiveTitlesForChampionClub, third consecutive title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consecutiveTitlesForChampionClub Context triple: [Premier League 2000–01, consecutiveTitlesForChampionClub, third consecutive title]
-
A.
consecutiveTitlesForChampion
chosen
Indicates that a champion has won multiple titles in succession without interruption.
-
B.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
C.
consecutiveLeagueTitlesPeriod
Indicates a time span during which a team or entity wins league titles in consecutive seasons without interruption.
-
D.
mostChampionshipTitlesClub
Indicates that a club holds the highest number of championship titles within a given competition or context.
-
E.
numberOfTropheeDesChampionsTitles
Indicates the number of Trophée des Champions titles that an entity has won.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c18a14819081b5914dd3b0f9cf |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 4:40 a.m.