Triple
T13129271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2022 |
E311923
|
entity |
| Predicate | mlsTeamsEnteredInRoundOf32 |
P108217
|
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, mlsTeamsEnteredInRoundOf32, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mlsTeamsEnteredInRoundOf32 Context triple: [U.S. Open Cup 2022, mlsTeamsEnteredInRoundOf32, true]
-
A.
numberOfOpenDivisionTeamsEntered
Indicates the quantity of teams that have been entered into an open division.
-
B.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
C.
rankingPointsForRoundOf32
Indicates the ranking points awarded to an entity for reaching or competing in the Round of 32 stage of a competition.
-
D.
eligibleTeamsFrom
Indicates that certain teams qualify or are allowed to originate from a specified source, context, or selection criteria.
-
E.
team2PostseasonEntry
Indicates that the second team’s qualification or entry into the postseason is being represented or recorded.
- 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.