Triple
T13129270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2022 |
E311923
|
entity |
| Predicate | mlsTeamsEnteredInThirdRound |
P108216
|
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 2022, mlsTeamsEnteredInThirdRound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mlsTeamsEnteredInThirdRound Context triple: [U.S. Open Cup 2022, mlsTeamsEnteredInThirdRound, true]
-
A.
thirdRoundOpponent
Indicates that one entity is the opponent faced by another entity in the third round of a competition or tournament.
-
B.
hasThirdPlaceMatch
Indicates that a competition or tournament includes a specific match played to determine the third-place finisher between the losing semifinalists or equivalent contenders.
-
C.
thirdPlaceTeam
Indicates that a team finished in third place in a competition, league, or ranking.
-
D.
team2PostseasonEntry
Indicates that the second team’s qualification or entry into the postseason is being represented or recorded.
-
E.
isThirdMLSChampionshipMatch
Indicates that the match is the third championship (final) game in the history of Major League Soccer.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819bfd348190a22d44f837877e1c |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:07 p.m.