Triple
T19374229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAIA Women’s Soccer National Championship |
E484623
|
entity |
| Predicate | nonProfitOrganizer |
P126697
|
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: [NAIA Women’s Soccer National Championship, nonProfitOrganizer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonProfitOrganizer Context triple: [NAIA Women’s Soccer National Championship, nonProfitOrganizer, true]
-
A.
isNonProfitOrganizer
Indicates that an entity organizes, manages, or coordinates activities for a nonprofit organization.
-
B.
nonProfitContext
Indicates that the relationship or action occurs within, is associated with, or is specifically relevant to a nonprofit or charitable organizational context.
-
C.
isNonprofitEvent
chosen
Indicates that an event is organized and conducted by a nonprofit entity, typically for charitable, educational, or community-focused purposes rather than for profit.
-
D.
nonProfitAffiliation
Indicates that an entity is formally associated with, supported by, or part of a nonprofit organization.
-
E.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61a5acc4481908fecfb57af16d037 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.