Triple
T13129248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2022 |
E311923
|
entity |
| Predicate | featuresUSLLegueOneClubs |
P108213
|
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, featuresUSLLegueOneClubs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresUSLLegueOneClubs Context triple: [U.S. Open Cup 2022, featuresUSLLegueOneClubs, true]
-
A.
NLTeamLeague
Indicates a relationship where a national league team competes in or is a member of a specific league.
-
B.
leagueGroup
Indicates that an entity belongs to or is classified within a particular league grouping or division.
-
C.
leagueOfReferencedClub
Indicates that the subject entity is associated with, or belongs to, the league in which the referenced club participates.
-
D.
topClubsParticipateIn
Indicates that leading or highest-ranked clubs take part in a specified event, competition, or activity.
-
E.
team1League
Indicates the league or competition in which the first team (team1) participates or is classified.
- 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.