Triple
T7667532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2002 |
E173659
|
entity |
| Predicate | openToAmateurClubs |
P12105
|
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 2002, openToAmateurClubs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openToAmateurClubs Context triple: [U.S. Open Cup 2002, openToAmateurClubs, true]
-
A.
includesAmateurClubs
chosen
Indicates that something (such as an organization, competition, or structure) contains or encompasses amateur-level clubs as part of it.
-
B.
amateurParticipants
Indicates that the participants involved in the event or activity are amateurs rather than professionals.
-
C.
closureOfClubs
Indicates that a situation or event results in the shutting down or discontinuation of operations of one or more clubs.
-
D.
involvesClub
Indicates that an action, event, or relationship includes or is associated with a specific club as a participating entity.
-
E.
earlyClub
Indicates that an entity was a member of a club or team during the early part of their career or life.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.