Triple
T24992655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2019 |
E625485
|
entity |
| Predicate | oldestNationalCupInCountry |
P7590
|
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 2019, oldestNationalCupInCountry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldestNationalCupInCountry Context triple: [U.S. Open Cup 2019, oldestNationalCupInCountry, true]
-
A.
isEditionOfOldestNationalSoccerTournamentIn
Indicates that a given competition edition is an edition of the oldest national soccer tournament held in the specified country or region.
-
B.
isOldestOngoingNationalSoccerTournamentIn
chosen
Indicates that a soccer tournament is the oldest continuously held national-level soccer competition within the specified country or region.
-
C.
isOldestInternationalClubTournament
Indicates that the tournament is the earliest-established international club competition of its kind.
-
D.
nationalCupTitle
Indicates that an entity has won a national-level cup competition title in a given sport or domain.
-
E.
goldCupTitles
Indicates the number of CONCACAF Gold Cup titles that an entity (typically a team or country) 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:04 a.m.