Triple
T5285507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2009 |
E119607
|
entity |
| Predicate | numberOfPDLClubsEntered |
P63860
|
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, numberOfPDLClubsEntered, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPDLClubsEntered Context triple: [U.S. Open Cup 2009, numberOfPDLClubsEntered, 8]
-
A.
sportNumberOfClubs
Indicates the number of clubs or teams an entity is associated with in a sports context.
-
B.
hasInvitedClubsFrom
Indicates that a party has extended invitations to clubs originating from a specified source or location.
-
C.
eligibleClubs
Indicates that certain clubs meet the required criteria or conditions to qualify for a specified status, activity, or benefit.
-
D.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
-
E.
involvesClub
Indicates that an action, event, or relationship includes or is associated with a specific club as a participating entity.
- 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.