Triple
T28394651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993–94 Premier League |
E719249
|
entity |
| Predicate | lossForChampions |
P164454
|
FINISHED |
| Object | 4 league defeats for Manchester United |
—
|
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: 4 league defeats for Manchester United | Statement: [1993–94 Premier League, lossForChampions, 4 league defeats for Manchester United]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lossForChampions Context triple: [1993–94 Premier League, lossForChampions, 4 league defeats for Manchester United]
-
A.
championTotalLossesIncludingPostseason
Indicates the total number of games a champion has lost, counting both regular season and postseason losses.
-
B.
loserPoints
Indicates the number of points awarded to or accumulated by the losing side in a competitive event or comparison.
-
C.
championOf
Indicates that one entity serves as the primary defender, advocate, or leading supporter of another entity, often working to promote or protect its interests.
-
D.
championWins
Indicates that a champion emerges victorious in a competition, match, or contest.
-
E.
champion
Indicates that one entity has won a competition or contest and holds the top position or title over others.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64ceeec7081908ee6e17c1aae9b7e |
completed | May 2, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f64bca8574819095e081cbb7e2f369 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 28, 2026, 1:16 a.m.