Triple
T5473325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2010 |
E122887
|
entity |
| Predicate | defendingChampionRetainedTitle |
P63959
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [U.S. Open Cup 2010, defendingChampionRetainedTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendingChampionRetainedTitle Context triple: [U.S. Open Cup 2010, defendingChampionRetainedTitle, true]
-
A.
defendingChampion
Indicates that an entity currently holds a title or championship and is defending it against challengers.
-
B.
championshipTitleWith
Indicates a relationship where two or more entities share or are jointly associated with the same championship title.
-
C.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
D.
defendingChampionEliminatedIn
Indicates that the defending champion of a competition was eliminated in a specified round, stage, or edition of that competition.
-
E.
defendedTitleAgainst
Indicates that one entity successfully retained a title or championship by competing against and overcoming a specific opponent.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9230d6d88190a9ac48a4488e1754 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd9214b8488190979112c7615f359a |
completed | March 20, 2026, 6:29 p.m. |
Created at: March 20, 2026, 2:09 p.m.