Triple
T5285506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2009 |
E119607
|
entity |
| Predicate | numberOfUSLSecondDivisionClubsEntered |
P63859
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [U.S. Open Cup 2009, numberOfUSLSecondDivisionClubsEntered, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfUSLSecondDivisionClubsEntered Context triple: [U.S. Open Cup 2009, numberOfUSLSecondDivisionClubsEntered, 8]
-
A.
secondDivisionLeagueRepresented
Indicates that an entity is or was represented by a team or participant competing in a second-division sports league.
-
B.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
-
C.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
-
D.
majorLeagueSoccerClubHosted
Indicates that a Major League Soccer club served as the host team or venue for a particular match, event, or opponent.
-
E.
eligibleForUSOpenCup
Indicates that an entity (typically a soccer club or team) meets the criteria to participate in the U.S. Open Cup competition.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8c9b82ac819080e798713c0bb4d8 |
completed | March 20, 2026, 6:06 p.m. |
Created at: March 20, 2026, 1:52 p.m.